ConvergeBio/virtual-cell-patient
A patient-level disease classification model trained on single-cell RNA-seq data. Given a matrix of gene expression profiles (one row per cell), the model produces a disease-category prediction for the patient.
README
tags: biology genomics single-cell-rna-seq patient-classification libraryname: transformers license: apache-2.0 Virtual Cell — Patient Model A patient-level disease classification model trained on single-cell RNA-seq data. Given a matrix of gene expression profiles (one row per cell), the model produces a disease-category prediction for the patient. Model architecture Pretrained classification task The pretrained checkpoint classifies patients into 10 disease categories: oncological,…
Source attribution
- HuggingFace — ConvergeBio/virtual-cell-patient
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