scFM-dataselection
importeddata/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.
- Category
- Data & Standards
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- active
- Maturity
- deployed
- Organization
- microsoft
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/microsoft/scFM-dataselection
- Documentation
- unknown
- Tags
- fine-tuning · foundation-models · genomics · rna-seq · single-cell · zero-shot
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- clampzero-shot
Code for the paper Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language
- finetuned-qlora-falcon7b-medicalfine-tuning
Finetuning of Falcon-7B LLM using QLoRA on Mental Health Conversational Dataset
- 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
- api.github.com/repos/microsoft/scFM-dataselectionretrieved 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.
Not yet verified by a human. Correct this record →
/v1/entries/57.json→ .entries["scfm-dataselection"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.