phet
importedsoftware/phet
PHet: Heterogeneity-Preserving Discriminative Feature Selection for Subtype Discovery
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- maintained
- Maturity
- deployed
- Organization
- kleelab-bch
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/kleelab-bch/phet
- Documentation
- unknown
- Tags
- cell-types · microarray-data-analysis · patient-subtyping · scrna-seq-analysis · single-cell · subtype-finding
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- FRmatchcell-types · scrna-seq-analysis · single-cell
Cell type matching in single-cell RNA-sequencing data using FR-Match
- leukoRightcell-types
A web app that uses a custom-built Keras model to recognize and classify white blood cells from microscopic images. It can distinguish between different types of WBCs and identify artifacts and…
- BITFAMscrna-seq-analysis · single-cell
BITFAM is a Bayesian approach and platform to infer transcription factor activities within individual cells using single cell RNA-sequencing data. Please see Gao S et al., Genome Research (2021)…
- FastCCCscrna-seq-analysis · single-cell
A permutation-free framework for scalable, robust, and reference-based cell-cell communication analysis in single cell transcriptomics studies
- GSFAscrna-seq-analysis · single-cell
R package that performs sparse factor analysis and differential gene expression discovery simultaneously on single-cell CRISPR screening data.
- nano-scGPTscrna-seq-analysis · single-cell
The simplest repo for scGPT inference, finetuning and training.
- api.github.com/repos/kleelab-bch/phetretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2025-10-02, 8 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/60.json→ .entries["phet"]
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