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HolobiomicsLab

@holobiomicslab source repo

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1. ▌
   Deep Learning Model Implementation In Pytorch Or Tensorflow · holobiomicslab

   Use when when you need to construct a dual-branch neural network encoder that processes two augmented versions of the same input (e.g., ion images in COL or ISO mode) and must enforce weight sharing between branches to reduce parameters while maintaining separate output representations.
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   Feature Count Verification Across Adducts And Isotopologues · holobiomicslab

   Use when after mzRAPP has exported a benchmark CSV file from centroided mzML files and you need to confirm the benchmark was constructed correctly before using it to evaluate NPP tool performance. Specifically, when you have a reference expectation (e.
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3. ▌
   Natural Products Structure Organism Association Integration · holobiomicslab

   Use when you have separately cleaned and validated tables for organisms (interim/tables/2_cleaned/organism/cleaned.tsv.gz), structures (interim/tables/1_translated/structure/final.tsv.gz and interim/tables/2_cleaned/structure/named.tsv.gz), references (interim/tables/2_cleaned/reference/cleaned.tsv.
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   Posterior Parameter Estimation For Metabolite Distributions · holobiomicslab

   Use when you have metabolomics data with left-censored missing values (below detection limit) and need to impute them.
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5. ▌
   Resnet Architecture Modification For Dimensionality Control · holobiomicslab

   Use when your task requires a pretrained convolutional encoder (ResNet18) to produce fixed-size representation vectors of a specific dimensionality (e.g., 512 dimensions) rather than the default output size.
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6. ▌
   Signal Preprocessing Chain Normalization Smoothing Baseline · holobiomicslab

   Use when apply this preprocessing chain when you have loaded raw or continuous imzML mass spectra into a Cardinal MSImagingArrays object and need to prepare them for peak picking, statistical analysis, or imaging.
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7. ▌
   Boundary Case Read Classification Via Sequence Alignment · holobiomicslab

   Use when when two mapping implementations (or versions of the same mapper) show disagreement on per-read mapping status—e.g., one mapper leaves reads fully unmapped that the other maps, or one maps with high confidence where the other is uncertain.
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8. ▌
   Two Dimensional Correlation Optimized Warping Parameter Tuni · holobiomicslab

   Use when when you have a preprocessed sample chromatogram (smoothed and baseline-corrected) and a preprocessed reference chromatogram, and need to align them using 2D COW.
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9. ▌
   Positional Distribution Profile Aggregation And Visualizatio · holobiomicslab

   Use when you have ATAC-seq BAM alignments with classified motif sites (bound vs. unbound based on chromatin accessibility or binding thresholds) and wish to detect and visualize the characteristic Tn5 insertion depletion signal (footprints) around transcription factor binding sites.
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10. ▌
    Correlation Analysis Between Experimental Computational Data · holobiomicslab

    Use when you have paired experimental and computational predictions for the same biological property (e.
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11. ▌
    Microbial Phage Infection Experimental Design Interpretation · holobiomicslab

    Use when you have a bacterium-phage infection study with normalized peak intensities from FT-ICR MS across multiple phage treatment groups (minimum 2–3 conditions such as HP1, HS2, control) and sample replicates (n ≥ 6–8 per group), and you need to test whether phage-type factor explains.
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12. ▌
    Metabolite Biomarker Classification Via Unsupervised Project · holobiomicslab

    Use when after preprocessing GCxGC-MS chromatograms (smoothing, baseline correction, peak alignment) when you need to uncover latent metabolite patterns that distinguish biological groups without prior class labels. Specifically useful for exploratory separation of disease states (e.
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13. ▌
    Metabolomic Spectral Annotation And Molecular Family Cluster · holobiomicslab

    Use when when you have raw or GNPS-processed MS2 spectral data from microbial strains and need to organize spectra into molecular families (grouped by spectral similarity) while preserving strain provenance, as a prerequisite for linking metabolomic families to gene cluster families (GCFs) via.
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14. ▌
    Molecular Structure Ground Truth Matching And Accuracy Evalu · holobiomicslab

    Use when after an end-to-end neural model (CNN + transformer) has generated predicted molecular structures (formula and connectivity) from 1D NMR spectra.
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15. ▌
    Random Access And Sequential Iteration Pattern Implementatio · holobiomicslab

    Use when when you need to support fast, non-sequential lookups (e.
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16. ▌
    Spearman Correlation Coefficient Calculation Cross Validatio · holobiomicslab

    Use when you have trained predictive models (e.g., MiMeNet neural networks) on microbiome-metabolome paired data using k-fold cross-validation, held out test folds for each fold-iteration, and generated continuous abundance predictions for metabolites.
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17. ▌
    Computational Performance Benchmarking And Timing Measuremen · holobiomicslab

    Use when when you need to validate that a newly published bioinformatics pipeline meets stated performance claims, or when you must characterize how execution time scales with dataset size (sample count, peak count, or formula complexity) and optional analysis features (e.
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18. ▌
    Mass Spectrometry Adduct Nomenclature And Formula Transforma · holobiomicslab

    Use when you have a neutral molecular formula (e.g., C3H8O2) and need to compute the adducted formula that will actually be observed in MS data;
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19. ▌
    Metabolite Chemodiversity Index Calculation And Interpretati · holobiomicslab

    Use when you have peak-abundance data (after molecular formula assignment, peak filtering by m/z, isotope, ppm error, and sample presence thresholds) and you need to quantify and compare the molecular composition diversity across samples or conditions.
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20. ▌
    Galaxy Workflow4metabolomics Reproducible Processing · holobiomicslab

    Use when running an LC-MS or GC-MS preprocessing and statistics pipeline on a Galaxy Workflow4Metabolomics instance, or when a collaborator must re-execute the analysis without installing the toolchain — the stage order is fixed by the wrappers' own datatypes, not by convention.
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21. ▌
    Extraction Parameter Optimization Ppm Retention Time Ion Mob · holobiomicslab

    Use when you are reconstructing targeted ion chromatograms (XIC) and ion mobilograms (IM) from raw diaPASEF data and need to balance sensitivity (wide extraction windows) against specificity (narrow windows that reject interference).
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22. ▌
    Differential Chromatin Accessibility Analysis Between Cell T · holobiomicslab

    Use when you have pre-processed chromatin accessibility data (ATAC-seq or DNAse-seq) with chromVAR deviations already computed for individual cells or bulk samples across multiple cell types or conditions, and you need to identify which transcription factor motifs exhibit significant differential.
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23. ▌
    Score Distribution Analysis And Statistical Significance Tes · holobiomicslab

    Use when after computing a scoring function over all possible genomic-metabolomic candidate pairs (e.g., all 2966 MIBiG-GNPS BGC-spectrum pairs), when you have a subset of known validated links and need to assess whether the scoring function ranks them significantly higher than expected by chance.
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24. ▌
    Thermodynamic Molecular Index Calculation From Elemental Com · holobiomicslab

    Use when when you have peak-abundance .csv files with assigned molecular formulas (elemental composition: C, H, O, N, P, S) from FT-ICR MS or high-resolution MS and need to characterize the redox and structural properties of the molecular pool—e.
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25. ▌
    Molecular Formula To Carbon Count Extraction · holobiomicslab

    Use when when you have a feature list from HRMS data with molecular formula annotations (inferred or assigned) and need to compute per-carbon mass defect ratios (MD/C, m/C) as part of PFAS candidate prioritization.
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26. ▌
    Molecular Networking Parameter Configuration · holobiomicslab

    Use when after preparing a feature table and MS/MS spectral data (mzML or MGF format with precursor m/z, retention time, and MS/MS spectra) and before submitting to GNPS for molecular network generation.
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27. ▌
    Multi Component Weighted Ranking Aggregation · holobiomicslab

    Use when you have completed LC–MS/MS feature detection and annotation (via MZmine2/3 and GNPS/SIRIUS/CANOPUS), have compiled a taxonomically annotated metadata table, and need to rank extracts by their likelihood of containing novel chemistry.
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28. ▌
    Multiple Linear Regression Model Application · holobiomicslab

    Use when when you have an observed m/z value from mass spectrometry imaging and need to annotate it with a ranked list of candidate chemical formulae. Apply this skill when the KnownSet database (2.
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29. ▌
    Mzml Format Output Generation And Validation · holobiomicslab

    Use when after running a ViMMS simulation loop with a fragmentation controller (e.
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30. ▌
    Neutral Loss Feature Extraction From Spectra · holobiomicslab

    Use when you have MS2 spectra data (MGF/mzML format) and aligned feature tables, and your analysis goal is to compare samples that may have poor MS1 feature overlap, strong retention-time shifts across runs, or were acquired on different LC-MS platforms.
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31. ▌
    Non Targeted Feature Detection And Screening · holobiomicslab

    Use when you have raw LC/MS data in mzML format and your analysis goal is to comprehensively detect and annotate all mass spectral features present, rather than measuring predefined target analytes.
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32. ▌
    Orbitrap Spectrum Acquisition Interpretation · holobiomicslab

    Use when when you have a Thermo Scientific .raw file from an Orbitrap instrument (e.
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33. ▌
    Pairwise Similarity Scoring Weighted Metrics · holobiomicslab

    Use when after anchor selection and RT mapping spline fitting, when you have a fitted metabCombiner object with pre-aligned feature pair candidates and need to determine which parameter weights (A for RT, B for m/z, C for similarity score) discriminate true metabolite matches from false positives.
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34. ▌
    Peak Detection And Alignment In Metabolomics · holobiomicslab

    Use when after generating simulated mzML output from ViMMS and you need to compare it against real acquisition data. Specifically, use it when you have paired real and simulated mzML files from the same sample (e.g., Beer1pos) and must evaluate whether a fragmentation strategy (e.
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35. ▌
    Peak Quality Metric Interpretation Alignment · holobiomicslab

    Use when when you have loaded aligned peak-alignment data from a molecular networking task and need to distinguish high-confidence, reproducible peak alignments from noise or spurious matches.
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36. ▌
    Performance Threshold Filtering And Analysis · holobiomicslab

    Use when when a trained model produces probabilistic or ensemble predictions and you need to achieve a specific target accuracy metric (e.g., RMSE ≤ 0.1) or minimize error on a test set, but the unfiltered model does not meet that target.
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37. ▌
    Pipeline End To End Execution And Validation · holobiomicslab

    Use when you have a published computational pipeline with deposited code and validation data, and you need to verify that the pipeline can be executed end-to-end to reproduce reported validation metrics (annotation accuracy, coverage, or equivalent performance benchmarks).
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38. ▌
    Principal Coordinate Analysis Interpretation · holobiomicslab

    Use when when you have computed pairwise distances between MS2 fingerprint vectors from multiple metabolomics samples and need to visualize sample similarity relationships in low dimensions.
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39. ▌
    Reaction Filtering By Substrate Completeness · holobiomicslab

    Use when you have loaded intracellular metabolomics data (LC-MS normalized abundances) and a stoichiometric metabolic model with multiple reactions, and you plan to compute reaction propensity scores or other flux-related metrics that depend on substrate concentrations.
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40. ▌
    Retention Time Alignment Mapping Application · holobiomicslab

    Use when after mass tracks have been aligned across samples into a MassGrid structure and retention time calibration dictionaries (rt_cal_dict) have been computed for each sample, but before summing intensity vectors element-wise to construct the composite map.
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41. ▌
    Retention Time Calibration Lowess Regression · holobiomicslab

    Use when after mass track construction and before composite map building, when you need to align retention times across multiple LC-MS samples. Trigger conditions: (1) you have identified high-selectivity landmark peaks (mSelectivity > 0.99) in a reference sample;
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42. ▌
    Retention Time Feature Distribution Analysis · holobiomicslab

    Use when you have extracted retention times from top MS1 features in an LC-MS/MS experiment and need to assess whether the gradient configuration (start and end time in minutes) achieves adequate compound separation across the full chemical space.
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43. ▌
    Sample Metadata Stratification And Filtering · holobiomicslab

    Use when when you have retrieved a large, heterogeneous collection of tandem MS files from ReDU or MassIVE and need to isolate a subset sharing specific sample characteristics (e.
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44. ▌
    Sample To Reference Retention Time Remapping · holobiomicslab

    Use when after mass tracks have been aligned across samples into a MassGrid structure and retention time calibration dictionaries (rt_cal_dict) have been computed for each sample during prior alignment steps.
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45. ▌
    Sequential Tool Integration And Data Routing · holobiomicslab

    Use when when you have raw LC-HRMS metabolomics data in .mzML or .
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46. ▌
    Spectral Match Scoring Algorithm Development · holobiomicslab

    Use when when building or extending MS/MS library search tools that must re-rank top candidate spectra (e.g., top 2000 from MS2Deepscore) to identify the analogue or exact match.
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47. ▌
    Spectral Noise Filtering And Quality Control · holobiomicslab

    Use when you have raw MS/MS spectra in multiple formats (.mgf, .msp, .mzML) that contain background noise, instrument artifacts, or low-abundance fragments that would degrade downstream LDA motif discovery.
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48. ▌
    Spectral Peak Filtering By Quality Threshold · holobiomicslab

    Use when you have raw or annotated MS/MS spectra (in MGF, mzML, or mzXML format) destined for de novo peptide sequencing with Casanovo. Use it specifically when your dataset contains variable spectral quality (e.
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49. ▌
    Spectral Scoring And Significance Assessment · holobiomicslab

    Use when you have executed multiple database search pipelines (Dereplicator, VarQuest, and/or Dereplicator+) on centroided LC-MS/MS spectra (in MGF, mzXML, mzML, or mzData format) against a chemical structure database of known natural products, and you need to: (1) identify which pipeline(s).
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50. ▌
    Spectral Similarity Prediction Deep Learning · holobiomicslab

    Use when when you have paired MS/MS spectra (unknown and known metabolites) with annotated structural similarity labels, and you need to rank candidate structures for metabolite identification.
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51. ▌
    Spectrum Preprocessing Binning Normalization · holobiomicslab

    Use when when preparing raw MS/MS spectra for input to a Siamese neural network trained to predict structural similarity scores (Tanimoto).
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52. ▌
    SQL Query Optimization For Similarity Search · holobiomicslab

    Use when when migrating spectral library data from file-based formats (JSON, CSV, binary) into a persistent store and need to support fast filtered queries on metadata and similarity computations against query spectra.
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53. ▌
    Sterol Structure Representation And Curation · holobiomicslab

    Use when when you have a collection of N-Me derivatized unsaturated sterol structures from tissue samples or standards that must be fed into MS/MS fragmentation prediction or collision cross section (CCS) prediction workflows.
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54. ▌
    Tandem Mass Spectrometry Data Interpretation · holobiomicslab

    Use when you have high-resolution MS2 data (.ms2 format) from tandem mass spectrometry analysis of lipid A-containing samples and need to perform automated structure annotation and identification at systems scale.
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55. ▌
    Unit Test Coverage For Conditional Workflows · holobiomicslab

    Use when when refactoring or adding workflow branching logic that routes spectral results into separate processing paths (e.
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56. ▌
    Vimms Controller Configuration And Execution · holobiomicslab

    Use when you have a set of chemical compounds (with known retention times and intensities) loaded into a ViMMS IndependentMassSpectrometer and need to simulate a specific MS/MS fragmentation strategy (e.
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57. ▌
    Confounder Adjustment Epidemiological Analysis · holobiomicslab

    Use when when testing associations between metabolic features (from NMR or MS) and a phenotype of interest (e.g., BMI, disease status) in a cohort where age, gender, or clinical confounders are known to correlate with both the metabolite and phenotype.
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58. ▌
    Fid To Frequency Domain Fourier Transformation · holobiomicslab

    Use when after simulating and convolving individual metabolite multiplets with realistic lineshapes (Lorentzian or Gaussian) and combining them into a single time-domain FID array.
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59. ▌
    Metabolite Stability Assessment Across Cohorts · holobiomicslab

    Use when you have uploaded a pre-analytical data table containing sample metadata, processing timestamps (pre- and post-centrifugation), and NMR metabolomic measurements for a cohort of peripheral blood samples (plasma/serum), and you need to quantify the magnitude and direction of metabolite.
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60. ▌
    Transformer Attention Mechanism Implementation · holobiomicslab

    Use when you have a sequence-to-structure prediction task where: (1) inputs are token sequences or embeddings representing molecular fragments or spectral data; (2) outputs are structured molecular representations (adjacency matrices for connectivity, formula vectors);
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61. ▌
    Chromatin Accessibility Variability Ranking · holobiomicslab

    Use when you have sparse, single-cell or bulk ATAC/DNAse-seq data from multiple cell types or conditions (e.g., GM vs H1 cell lines), pre-filtered and GC-bias-corrected, with motif-to-peak matches already computed.
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62. ▌
    Cpg Base Filtering By Statistical Threshold · holobiomicslab

    Use when after calculateDiffMeth() has been run on a methylBase object and you have a methylDiff object with q-values and methylation difference estimates.
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63. ▌
    Juicer Pipeline Configuration And Execution · holobiomicslab

    Use when you have raw Hi-C FASTQ files from a high-throughput chromatin conformation capture experiment and need to generate a normalized contact matrix (.hic file) for downstream genomic analysis.
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64. ▌
    Local Background Estimation Multiple Scales · holobiomicslab

    Use when when performing ChIP-Seq peak calling with MACS3, after duplicate filtering and fragment length prediction (d), to construct the background model that will be compared against ChIP signal.
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65. ▌
    Method Comparison Statistical Summarization · holobiomicslab

    Use when you have extracted clustering or classification accuracy metrics (NMI, ARI, purity scores) for two or more competing methods evaluated on multiple datasets, and need to determine which method performs overall rather than on individual datasets alone.
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66. ▌
    Single Cell Atac Fragment Import Processing · holobiomicslab

    Use when you have aligned single-cell ATAC-seq data as BAM files or fragment files (TSV format with genomic coordinates) and need to prepare it for spectral embedding, clustering, and peak calling. This is the entry point after alignment but before any dimension reduction or statistical analysis.
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67. ▌
    Singular Value Decomposition Interpretation · holobiomicslab

    Use when after loading and normalizing a beta-valued methylation matrix (450K or EPIC array), apply SVD interpretation when you need to assess whether observed variation is driven by batch effects rather than biological signal, or when you want to determine the true dimensionality of latent.
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68. ▌
    Software Environment Containerization Setup · holobiomicslab

    Use when you have a bioinformatics pipeline (like HiC-Pro) with mixed Python, R, and compiled tool dependencies, and you need to ensure consistent reproducibility across machines and team members without manual per-tool installation. Use this when dependencies include version-pinned libraries (e.
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69. ▌
    Spectral Embedding Scalability Benchmarking · holobiomicslab

    Use when you have a large single-cell count matrix (≥10 million cells) in CSR format and need to verify whether the matrix-free spectral embedding in SnapATAC2 achieves its documented linear scaling behavior on your hardware and dataset characteristics.
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70. ▌
    Annotation Coverage Statistics Computation · holobiomicslab

    Use when you have run MSMetaEnhancer's annotate_spectra() method on a .
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71. ▌
    Binary Format Specification Implementation · holobiomicslab

    Use when you have a compressed file format (e.g., igzip) with a custom binary header structure that encodes metadata (index-to-offset mappings) in a fixed layout, and you need to parse or generate compliant files.
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72. ▌
    Compute Converter Interface Implementation · holobiomicslab

    Use when you need to add a new local chemical structure conversion capability to MSMetaEnhancer when existing web-service converters (CTS, CIR, PubChem) are unavailable, too slow, or unsuitable for your workflow, and you have a chemical transformation (e.
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73. ▌
    Cross Platform Software Capability Mapping · holobiomicslab

    Use when you are designing a new tool for FT-ICR MS analysis (or similar high-resolution mass spectrometry domain) and need to understand which analytical and visualization features are already implemented in competing or complementary tools (e.
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74. ▌
    Data Serialization Format Interoperability · holobiomicslab

    Use when you have a new or draft file format specification (e.g., mzPeak) with multiple independent language implementations, and you need to verify that all readers agree on the structured data they extract before recommending the format for production use.
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75. ▌
    Descriptor Fingerprint Feature Engineering · holobiomicslab

    Use when use when the workflow requires descriptor-fingerprint-feature-engineering.
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76. ▌
    Git Repository Cloning And Version Control · holobiomicslab

    Use when when you need to reproduce a computational workflow described in a GitHub repository, validate CI/CD pipeline definitions (e.g., GitHub Actions workflows), inspect source code structure, or execute local versions of automated tests.
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77. ▌
    Igzip Compression And Indexed Block Format · holobiomicslab

    Use when you have mzML mass spectrometry files that need both compression and rapid random access by spectrum ID (e.g., direct retrieval of spectrum 2540 without sequential scanning).
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78. ▌
    Mass Spectrometry Data Parsing Mzml Bruker · holobiomicslab

    Use when you have raw mass spectrometry data in mzML or Bruker .d format and need to ingest it into a tabular format (pandas DataFrame) for visualization, statistical analysis, or integration with other Python-based mass spectrometry tools.
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79. ▌
    Mass Spectrometry Plot Type Specialization · holobiomicslab

    Use when you have a Pandas DataFrame containing mass spectrometry data (e.
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80. ▌
    Metabolic Regulation Classification Scheme · holobiomicslab

    Use when when you have computed Reaction Activity Scores (RAS) from transcriptomics and GPR rules, Reaction Presence Scores (RPS) from RAS normalized flux predictions, and Flux Fold-change Distributions (FFD) from metabolomic data and mass-action constraints across multiple sample pairs, and you.
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81. ▌
    Metabolite Prediction Correlation Analysis · holobiomicslab

    Use when after training a neural network or regression model to predict metabolomic profiles from microbiome data.
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82. ▌
    Metabolite Set File Parsing And Validation · holobiomicslab

    Use when when a user has prepared a custom collection of metabolite sets (e.g., from spectral fragmentation clustering, literature curation, or domain-specific grouping) in CSV or JSON format and wants to score their activity levels using PALS without modifying the core PALS codebase.
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83. ▌
    Metabolomics Quality Metric Interpretation · holobiomicslab

    Use when after batch correction of metabolomics data using pooled study quality control (SQC) samples and calculation of compound/internal standard ratios, when you need to decide which compounds are reliable for reporting and which internal standard minimizes technical variation (RSDQC) for each.
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84. ▌
    Precursor Peptide Extraction From Clusters · holobiomicslab

    Use when you have assembled genome FASTA sequences (from SPAdes, metaSPAdes, or antiSMASH output) and need to systematically identify precursor peptides corresponding to a target RiPP class before constructing the structure database for dereplication.
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85. ▌
    Python Package Installation And Management · holobiomicslab

    Use when when you need to validate that a Python package (or update to it) is accessible to end users through official distribution channels, or when you are preparing a release and need to confirm that installation from PyPI and/or Bioconda does not introduce import failures or missing.
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86. ▌
    R Object Size Measurement And Benchmarking · holobiomicslab

    Use when evaluating alternative implementations of data storage or retrieval strategies in R objects—specifically when deciding whether to eagerly populate all columns in a data frame slot (e.
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87. ▌
    Reference Peak Matching And Fallback Logic · holobiomicslab

    Use when when performing m/z domain calibration on FT-ICR or high-resolution MS data and the initial calibration attempt finds fewer than 5 reference m/z matches within the standard PPM window (typically ±1–5 ppm).
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88. ▌
    Regression Model Validation Quantification · holobiomicslab

    Use when when you have fitted one or more regression models (linear or polynomial) to external calibration standards in MS data and need to verify model adequacy before applying it to unknown samples.
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89. ▌
    Spectra Variable Initialization Strategies · holobiomicslab

    Use when when designing or configuring an MsBackend subclass (e.
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90. ▌
    Stochastic Weight Averaging Implementation · holobiomicslab

    Use when training a deeply regularized deep neural network on a large molecular feature dataset (e.
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91. ▌
    Wine Environment Initialization Validation · holobiomicslab

    Use when use this skill after building a Docker image that installs Wine and .NET Framework 4.8 on a Ubuntu 22.04 base, but before running production conversion tasks or batch jobs with AirdPro.
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92. ▌
    API Query Routing Conditional Per Database · holobiomicslab

    Use when when you have a chemical structure query (as a SMILES string or molecular identifier) and need to search across multiple external chemical repositories simultaneously, but only some repositories are relevant for your specific compound class (e.
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93. ▌
    CI CD Pipeline Configuration And Execution · holobiomicslab

    Use when when you have a multi-platform Qt5 C++ project (Windows, macOS, Linux) that requires automated compilation and executable packaging across different operating systems.
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94. ▌
    Classification Workflow Parameter Toggling · holobiomicslab

    Use when gNPS has stopped supplying ClassyFire ontology information for your spectral library matches, or when ClassyFire data is missing for in silico structural annotations.
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95. ▌
    Cluster Assignment Extraction And Labeling · holobiomicslab

    Use when after executing hierarchical clustering via Sample_Separation() with method='HCA' on a feature-by-sample metabolomic matrix, when you need to assign each sample to a discrete cluster group (typically k=2 clusters) for use in marker identification, batch effect assessment, or sample.
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96. ▌
    Cluster Validation Cdf Threshold Selection · holobiomicslab

    Use when when you have generated multiple biclusters or clusterings from ensemble models (e.g., 100 trained neural network models via cross-validation) and need to select an objective cluster number k without manual inspection.
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97. ▌
    Cnn Architecture Design For Chromatography · holobiomicslab

    Use when you have LC-HRMS profile-mode chromatograms with ground-truth peak annotations (reference features) and need to detect peaks in new samples with high sensitivity and specificity, especially when peaks exhibit variable morphology (left/right isomers), overlapping background signals.
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98. ▌
    Compound Library Construction And Curation · holobiomicslab

    Use when when you have a set of query chemicals (e.g., ethyl hexanoate, methyl salicylate, octanal, undecane) and need to evaluate them against reference compound categories, or when you want to restrict structural matching to specific compound type sets (e.
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99. ▌
    Computational Reproducibility Verification · holobiomicslab

    Use when you have access to both raw data (deposited in a repository like Zenodo) and analysis scripts (in a GitHub repository), and you need to confirm that the published figures, tables, or quantitative findings are reproducible.
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100. ▌
     Conditional Threshold Logic Implementation · holobiomicslab

     Use when when visualizing numeric columns with unknown or highly variable ranges, and the visualization quality depends on parameter selection tied to data statistics. Specifically: after loading a numeric column (e.
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