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BowenXiao/geneformer-oa-myeloid
geneformer-oa-myeloid is a machine learning model from BowenXiao. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
Geneformer-OA-Myeloid is a released collection of two Geneformer-based downstream classifiers for osteoarthritis synovial myeloid single-cell analysis.
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Updated Apr 12, 2026
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From the Hugging Face model README
Geneformer-OA-Myeloid is a released collection of two Geneformer-based downstream classifiers for osteoarthritis synovial myeloid single-cell analysis.
| Model | Task | Training data | Labels |
|---|---|---|---|
disease_classifier | OA vs Normal classification | GSE216651 | Normal, OA |
state_classifier | Synovial myeloid state classification | GSE216651 + GSE152805 | Monocyte_like, Inflammatory_macrophage, Resident_macrophage |
Geneformer-V2-104M0.99610.99560.99997Geneformer-V2-104M0.95070.8985GSE2531980.81460.47040.5184The disease classifier performs strongly inside the source synovial cohort but shows limited cross-cohort transfer, so this release should be used as a research model rather than a cohort-invariant clinical classifier.
models/
disease_classifier/
state_classifier/
results/
external_validation/
scripts/
This release distributes model metadata, evaluation summaries, and helper scripts through GitHub, while large binary weights are intended for Hugging Face or Git LFS distribution.
Minimal loading pattern:
from pathlib import Path
from transformers import BertForSequenceClassification
model_dir = Path("models/disease_classifier")
model = BertForSequenceClassification.from_pretrained(model_dir)
This release does not redistribute raw single-cell count matrices. The released models and summaries were generated from public datasets including:
GSE216651GSE152805GSE253198This release is distributed under Apache License 2.0 as a derivative downstream work of ctheodoris/Geneformer.
ctheodoris/GeneformerA Geneformer-based OA myeloid fine-tuned model collection