pathway-enrichment vs XLSX
Сравнение двух Agent Skills бок о бок. Выбери подходящий для Claude Code или Claude Desktop.
Run pathway and gene-set enrichment analysis on gene lists or ranked gene data, then interpret the results. Use whenever the user has a set of genes (differenti
Сравнение
| Параметр | pathway-enrichment | XLSX |
|---|---|---|
| Скрипты | есть | есть |
| Разрешённые инструменты | любые | 3 |
| Тип установки | personal | personal |
| Категория | data | data |
| Проверен | — | |
| Лицензия | MIT | MIT |
| Автор | K-Dense AI | Anthropic |
| Repo | K-Dense-AI/scientific-agent-skills | anthropics/skills |
Когда брать pathway-enrichment
Run pathway and gene-set enrichment analysis on gene lists or ranked gene data, then interpret the results. Use whenever the user has a set of genes (differentially expressed genes from PyDESeq2/Scanpy, CRISPR-screen hits, cluster marker genes, proteomics hits) and wants to know which biological pathways, GO terms, or gene sets are over-represented or enriched. Covers over-representation analysis (ORA / Enrichr / Fisher / hypergeometric), ranked Gene Set Enrichment Analysis (GSEA / preranked), single-sample scoring (ssGSEA/GSVA), and functional profiling via gseapy, g:Profiler, Enrichr libraries, MSigDB, GO, KEGG, Reactome, and WikiPathways — plus gene-ID mapping, choosing the right background universe, multiple-testing correction, redundancy reduction, dotplots/enrichment maps, and publication-ready tables. Use this for "pathway analysis", "enrichment analysis", "GO enrichment", "KEGG/Reactome pathways", "GSEA", "over-representation", "functional annotation", or "what pathways are my genes in".
Когда брать XLSX
Work with Excel (.xlsx) spreadsheets: read data, compute formulas, build sheets with formatting and charts, and export analysis as real workbooks.
Ищешь другое? Все скиллы.