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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | 1.Arboreto Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). | davila7/ | 33k | 11 repos | ~1.7k | Automated safety check: Pass | MIT | today |
| 2 | Detects CPU, GPU, memory and disk resources before heavy scientific tasks and writes a JSON file with advice on parallelism, out-of-core work and GPU use. | davila7/ | 33k | 10 repos | ~2.4k | Automated safety check: Pass | MIT | today |
| 3 | 3.Arboreto Infers candidate gene regulatory networks from bulk or single-cell expression data using AertsLab Arboreto GRNBoost2 and GENIE3. | K-Dense-AI/ | 48k | 1 repo | ~2.7k | Automated safety check: Pass | BSD-3-Clause | 6 days ago |
| 4 | Stores and operates on sparse expression matrices for single-cell and large bulk RNA-seq, covering dgCMatrix/dgRMatrix/dgTMatrix when-each-is-fast, the dgCMatrix (CSC, R) <- CSR (Python) implicit… | GPTomics/ | 1.2k | 1 repo | ~5.6k | Automated safety check: Pass | MIT | 1 mo ago |
| 5 | GRN inference from expression via GRNBoost2 (gradient boosting) or GENIE3 (Random Forest). | jaechang-hits/ | 374 | 2 repos | ~5.3k | Automated safety check: Pass | BSD-3-Clause | 12 days ago |
