scRM: A single-cell foundation model trained on scRNA-seq reads
Dongze HeiD, Rob PatroiD, Marcel NassariD, Haiyu Wu, Qi YaniD, Glenn Xu, Kristof Torkenczy, Jamin Liu, Stefka TyanovaiD
Abstract
To our knowledge, scRM is the first single-cell foundation model trained on sequencing reads, demonstrating that raw data pretraining is not only feasible but competitive at a fraction of the computational cost. We anticipate that scaling this framework and exploring alternative architectures will unlock biological information inaccessible to count models and extend the dataset-specific pretraining it already makes possible. The source code is available at https://github.com/altoslabs/scRM.
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