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Agent skill

Immunogenicity Scoring

Rank and prioritize neoantigen/epitope candidates by likely T-cell response using NeoFox feature annotation, PRIME2.0, BigMHC-IM, the Łuksza/Balachandran fitness model (agretopicity + foreignness), and pVACtools tiering. Encodes the field's hard truths that immunogenicity is the least-solved laye...

ClaudeCodexOpenClawEducation & Research
GPTomics1,232
MITView resource
Agent skill

Funnel Analyzer

Analyze conversion funnels and identify drop-offs. Use when: analyzing checkout funnel; tracking signup flow; identifying conversion blockers; optimizing user journey; visualizing funnel performance

OpenClawData & Analytics
guia-matthieu150
MITView resource
Agent skill

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Differential gene expression analysis for bulk RNA-seq count matrices using a DESeq2-like workflow in Python; use when you need Wald tests, FDR correction, and optional LFC shrinkage for condition/batch/covariate designs.

OpenClawData & Analytics
aipoch2,022
MITView resource
Agent skill

arboreto

Infer gene regulatory networks (GRNs) from gene expression matrices using GRNBoost2 or GENIE3; use when analyzing bulk or single-cell RNA-seq to identify TF→target regulatory relationships.

OpenClawData & Analytics
aipoch2,022
MITView resource
Agent skill

GWAS Catalog Database

Query the NHGRI-EBI GWAS Catalog to retrieve SNP–trait associations, study metadata, and (when available) summary statistics when you need evidence for a variant, trait/disease, gene, or genomic region.

OpenClawData & Analytics
aipoch2,022
MITView resource
Agent skill

string-database

Access the STRING database to map identifiers, retrieve protein–protein interaction networks, and run functional/PPI enrichment when you need interaction context for a gene/protein set.

OpenClawData & Analytics
aipoch2,022
MITView resource
Agent skill

Metagenomic Krona Chart

Analyze data with `metagenomic-krona-chart` using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation.

OpenClawData & Analytics
aipoch2,022
MITView resource
Agent skill

Model Interpretation for Omics Classifiers

Explains ML predictions on omics data with SHAP, LIME, and permutation importance, handling the correlated-feature trap, the conditional-vs-interventional Shapley choice, and the attribution-is-not-causation boundary. Use when interpreting an omics classifier, debugging shortcut/batch learning, o...

ClaudeCodexOpenClawData & Analytics
GPTomics1,232
MITView resource

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