ConvergeBio/virtual-cell-patient
https://huggingface.co/ConvergeBio/virtual-cell-patientA 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.
Sourced from
- HuggingFace — ConvergeBio/virtual-cell-patient
Related resources
vandijklab/C2S-Scale-Gemma-2-27B
by vandijklabGitHub homepage: Cell2Sentence GitHub
ScientaLab/eva-rna
by ScientaLabInstaDeepAI/NTv3_100M_post
by InstaDeepAIgemma4-12b-bioinfo is a fine-tuned Gemma 4 12B instruction model for bioinformatics, genomics, and computational biology question answering.
## Important Notice If you are using GENERator for sequence generation, please ensure that the length of each input sequence is a multiple of 6. This can be achieved by either: 1. Padding the sequence on the left with 'A' (left padding); 2. Truncating the sequence from the left (left truncation).