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SCREP: Towards Single-Cell Drug Response Prediction by Pharmacogenomic Embedding Enhanced Meta-Pretraining and Few-Shot Transfer Learning

2024-04-28

Abstract excerpt

<h4>Objective</h4> Single-cell pharmacogenomic data is crucial for identifying biomarkers and understanding resistance mechanisms. However, the limited availability of those data poses significant challenges for efficient pre-training and thus hinders the generalization capability of the model. This paper aims to develop an efficient predictive model for single-cell drug response inference by leveraging knowledge...

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Literature Corpus work
5e0212d8-60b9-5e7f-b1ad-ac47600c2341
DOI
10.1101/2024.04.25.591050
Open publication

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SCREP: Towards Single-Cell Drug Response Prediction by Pharmacogenomic Embedding Enhanced Meta-Pretraining and Few-Shot Transfer LearningDOI 10.1101/2024.04.25.591050
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