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Tahoe-x1: Scaling Perturbation-Trained Single-Cell Foundation Models to 3 Billion Parameters

2025-10-23

Abstract excerpt

Foundation models have transformed natural language processing and computer vision, yet their potential in single-cell biology—particularly for complex diseases such as cancer— remains underexplored. We present Tahoe-x1 (Tx1), a family of perturbation-trained single-cell foundation models with up to 3 billion parameters. Tx1 is pretrained on large-scale single-cell transcriptomic datasets, including the Tahoe-10...

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Literature Corpus work
1a29c547-8296-5fbf-8c81-647971b30ce3
DOI
10.1101/2025.10.23.683759
Open publication

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Tahoe-x1: Scaling Perturbation-Trained Single-Cell Foundation Models to 3 Billion ParametersDOI 10.1101/2025.10.23.683759
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