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scFM-dataselection

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data/scfm-dataselection

Investigating the role of pre-training dataset size and diversity on the performance of single-cell foundation models

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

scFM-dataselection project image
GitHub preview card for microsoft/scFM-dataselection. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Data & Standards
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
microsoft
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
fine-tuning · foundation-models · genomics · rna-seq · single-cell · zero-shot
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.

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    Code for the paper Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language

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  • bambu-pipegenomics · rna-seq · single-cell

    Transcript discovery and quantification for long read single cell and spatial transcriptomics data using Bambu

  • hce-classificationgenomics · rna-seq · single-cell

    Code to implement the hierarchical cross-entropy loss for single-cell annotation models

  • MetaInformAntgenomics · rna-seq · single-cell

    METAINFORMANT is a Python 3.11+ multi-omic bioinformatics toolkit spanning 28 modules and 650+ files for DNA, RNA-seq, protein, epigenome and single-cell analysis, GWAS with fine-mapping and eQTL,…

  • Nclusion.jlgenomics · rna-seq · single-cell

    Scalable nonparametric clustering with unified marker gene selection for single-cell RNA-seq data

sources
  1. api.github.com/repos/microsoft/scFM-dataselection
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-05-12, 20 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

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machine-readable

/v1/entries/57.json→ .entries["scfm-dataselection"]

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