A framework for state-of-the-art pre-trained bio foundation models on genomics and transcriptomics modalities.
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Updated
Apr 20, 2026 - Python
A framework for state-of-the-art pre-trained bio foundation models on genomics and transcriptomics modalities.
A drop-in modernization of bowang-lab/scGPT for Python 3.12 + torch 2.6 + flash-attn 3 (H100 sm_90a native). Original pretrained weights load unmodified — compatible, more modern, faster.
Reproducible pipelines comparing bulk RNA-seq, single-cell (pseudobulk), and scFM embeddings (scGPT, scFoundation) for per-drug response prediction in cancer cell lines.
Causal token interventions for validating gene regulatory network inference from single-cell foundation models
Автосервис в Минске. Качественный ремонт авто.
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