Efficient Fine-Tuning of Single-Cell Foundation Models Enables Zero-Shot Molecular Perturbation Prediction

Fuente: arXiv

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Bibliographic Details
Main Authors:	Maleki, Sepideh, Huetter, Jan-Christian, Chuang, Kangway V., Richmond, David, Scalia, Gabriele, Biancalani, Tommaso
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Quantitative Methods
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2412.13478