Results for “genome-scale-model”
19 skillsMore results
jiachen-t-wang scaling-laws-for-neural-language-models-arxiv-2001-08361v1
Scaling Laws for Neural Language Models
6
jiachen-t-wang scaling-data-constrained-language-models-arxiv-2305-16264v3
Scaling Data-Constrained Language Models
6
k-dense-ai depmap
Query the Cancer Dependency Map (DepMap) for cancer cell line gene dependency scores, drug sensitivity data, and gene effect profiles to identify cancer-specific vulnerabilities, synthetic lethal interactions, and validate oncology drug targets.
30.2k · bundle
neuralblitz botany-based-simulation
Botany Based Simulation Skill
1 · bundle
alterlab-ieu alterlab-depmap
Query the Cancer Dependency Map (DepMap) for cancer cell line gene dependency scores (CRISPR Chronos), drug sensitivity data, and gene effect profiles. Use when identifying cancer-specific genetic vulnerabilities, finding synthetic lethal interactions, checking whether a gene is essential in given cell lines, or validating oncology drug targets. Part of the AlterLab Academic Skills suite.
60 · bundle
levalencia depmap
Query the Cancer Dependency Map (DepMap) for cancer cell line gene dependency scores (CRISPR Chronos), drug sensitivity data, and gene effect profiles. Use for identifying cancer-specific vulnerabilities, synthetic lethal interactions, and validating oncology drug targets.
3 · bundle
thedixitjain depmap
Query the Cancer Dependency Map (DepMap) for cancer cell line gene dependency scores (CRISPR Chronos), drug sensitivity data, and gene effect profiles. Use for identifying cancer-specific vulnerabilities, synthetic lethal interactions, and validating oncology drug targets.
2 · bundle
vimalinx nhmmer
Use when searching DNA or RNA queries against nucleotide sequence databases with HMMER's nucleotide homology search engine.
0 · bundle
michaelschecht scientific-schematics
Create publication-quality scientific diagrams using Nano Banana Pro AI with smart iterative refinement. Uses Gemini 3 Pro for quality review. Only regenerates if quality is below threshold for your document type. Specialized in neural network architectures, system diagrams, flowcharts, biological pathways, and complex scientific visualizations.
0 · bundle
k-dense-ai arboreto
Infer gene regulatory networks from gene expression data using scalable algorithms (GRNBoost2, GENIE3) with support for distributed computation.
30.2k · bundle
jiachen-t-wang llama-3-the-llama-3-herd-of-models-arxiv-2407-21783v2
Llama 3: The Llama 3 Herd of Models
6
levalencia pysam
Genomic file toolkit. Read/write SAM/BAM/CRAM alignments, VCF/BCF variants, FASTA/FASTQ sequences, extract regions, calculate coverage, for NGS data processing pipelines.
3 · bundle
jackychenlu pysam
Genomic file toolkit. Read/write SAM/BAM/CRAM alignments, VCF/BCF variants, FASTA/FASTQ sequences, extract regions, calculate coverage, for NGS data processing pipelines.
0 · bundle
intense-visions design-type-scale
Type Scale
18 · bundle
jiachen-t-wang training-compute-optimal-large-language-models-arxiv-2203-15
Training Compute-Optimal Large Language Models
6
jiachen-t-wang gemini-a-family-of-highly-capable-multimodal-models-arxiv-23
Gemini: A Family of Highly Capable Multimodal Models
6
neuralblitz applied-botany-modeling
Applied Botany Modeling Skill
1 · bundle
metinduraktr-44 arboreto
Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, single-cell RNA-seq) to identify transcription factor-target gene relationships and regulatory interactions. Supports distributed computation for large-scale datasets.
0 · bundle