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UMAP · By GPTomics
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Produce and interpret PCA, t-SNE, UMAP, and PHATE plots for high-dimensional omics data with rigor about which method preserves what (variance, local structure, manifold, transitions)… | GPTomics/ | 1.2k | 2 repos | ~4.8k | Automated safety check: Pass | MIT | 1 mo ago |
| 2 | Unsupervised clustering and cell-type identification for high-dimensional flow, spectral, and mass cytometry - FlowSOM, PhenoGraph, FlowSOM-via-CATALYST, with UMAP/tSNE for visualization. | GPTomics/ | 1.2k | 1 repo | ~2.3k | Automated safety check: Pass | MIT | 1 mo ago |
| 3 | Dimensionality reduction and graph-based clustering for single-cell RNA-seq with Scanpy (Python) and Seurat (R). | GPTomics/ | 1.2k | 1 repo | ~3.5k | Automated safety check: Pass | MIT | 1 mo ago |
| 4 | Plots spatial transcriptomics expression, clusters, and annotations on tissue using Squidpy and Scanpy. | GPTomics/ | 1.2k | 1 repo | ~3.6k | Automated safety check: Pass | MIT | 1 mo ago |
| 5 | Integrates single-cell paired TCR/BCR (10x VDJ, AIRR, dandelion, BD Rhapsody) with gene expression in an AnnData/MuData object using scirpy - chain-pairing QC, clonotype definition, clonal… | GPTomics/ | 1.2k | 1 repo | ~4.4k | Automated safety check: Pass | MIT | 1 mo ago |
