Results for “mdn”

Comprehensive guide to mpnn. Master the concepts, implementation, best practices, and real-world applications of mpnn in professional environments.

Migrates .NET test projects from VSTest to Microsoft.Testing.Platform (MTP), updating project files, CLI arguments, and CI/CD pipelines for MSTest, NUnit, and xUnit.net.

Comprehensive guide to mdp. Master the concepts, implementation, best practices, and real-world applications of mdp in professional environments.

Run and analyze molecular dynamics simulations with OpenMM and MDAnalysis. Set up protein/small molecule systems, define force fields, run energy minimization and production MD, analyze trajectories (RMSD, RMSF, contact maps, free energy surfaces).

Decide when and how to assess minimal residual disease (MRD) in multiple myeloma — bone marrow MRD by next-generation flow (NGF) or sequencing (NGS), plus imaging MRD by PET-CT — and how to act on the result. Trigger when a clinician asks "how to assess MRD in myeloma", "MRD-negative complete response", "PET-CT for MRD", "is bone marrow MRD enough", "when to test for MRD", "next-generation flow for myeloma", or "myeloma sustained MRD negativity". Based on EHA-ESMO 2021.

Comprehensive guide to dqn. Master the concepts, implementation, best practices, and real-world applications of dqn in professional environments.

Design CDN strategies for content delivery. TRIGGERS - Use when user needs help with cdn-strategy related tasks.

Design CDN strategies for content delivery. TRIGGERS - Use when user needs help with cdn-strategy related tasks.

Plan, debug, tune, evaluate, export, or deploy public Nemotron embedding and reranking retrieval recipes using the current checkout.

Installs and configures MariaDB Connector/ODBC, covering driver manager registration, DSN setup, connection-string keywords, and TLS options for Linux, macOS, and Windows.

Mass spectrometry analysis. Process mzML/MGF/MSP, spectral similarity (cosine, modified cosine), metadata harmonization, compound ID, for metabolomics and MS data processing.

Perform nonlinear dimensionality reduction, 2D/3D embeddings, clustering preprocessing, supervised or semi-supervised UMAP, DensMAP, AlignedUMAP, and Parametric UMAP workflows using the umap-learn library.

UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.

Access the Human Metabolome Database (HMDB, 220K+ metabolites), searching by name, HMDB ID, or structure to retrieve chemical properties, biomarker data, NMR/MS reference spectra, and associated pathways. Use when identifying a human metabolite, looking up its biomarker or disease associations, matching NMR/MS spectra, or running metabolomics annotation. Part of the AlterLab Academic Skills suite.

Turn a design or spec document into a working MVP by planning thin vertical slices, scaffolding the first slice, then building iteratively with test-driven development and gated commits.

A CDN is a cache that obeys your origin's instructions.

Convert onnx converter operations. Auto-activating skill for ML Deployment. Triggers on: onnx converter, onnx converter Part of the ML Deployment skill category. Use when working with onnx converter functionality. Trigger with phrases like "onnx converter", "onnx converter", "onnx".

EL2N: Deep Learning on a Data Diet

Mass spectrometry analysis. Process mzML/MGF/MSP, spectral similarity (cosine, modified cosine), metadata harmonization, compound ID, for metabolomics and MS data processing.