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GSFA

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software/gsfa

R package that performs sparse factor analysis and differential gene expression discovery simultaneously on single-cell CRISPR screening data.

Machine-generated from the listed sources and not yet reviewed by a human.

GSFA project image
GitHub preview card for xinhe-lab/GSFA. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
xinhe-lab
Country
unknown
Homepage
xinhe-lab.github.io/GSFA/
Repository
github.com/xinhe-lab/GSFA
Documentation
unknown
Tags
crispr-screen-analysis · differential-expression-analysis · factor-analysis · scrna-seq-analysis · single-cell
Regulatory
unknown
similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • dea_seuratdifferential-expression-analysis · single-cell

    A Snakemake workflow and MrBiomics module for performing differential expression analyses (DEA) on (multimodal) sc/snRNA-seq data powered by the R package Seurat.

  • mofaflexfactor-analysis · single-cell

    factor models for omics data

  • 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

  • FRmatchscrna-seq-analysis · single-cell

    Cell type matching in single-cell RNA-sequencing data using FR-Match

  • nano-scGPTscrna-seq-analysis · single-cell

    The simplest repo for scGPT inference, finetuning and training.

sources
  1. api.github.com/repos/xinhe-lab/GSFA
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2023-10-03, 25 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 →

machine-readable

/v1/entries/62.json→ .entries["gsfa"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.