Article

Multi-Omics Modality Completion and Knowledge Distillation for Drug Response Prediction in Cervical Cancer

2025-05-06

Abstract excerpt

<title>Abstract</title> <p>In clinical practice, the development of personalized treatment strategies for cervical cancer is hindered by the limited accuracy of drug response prediction, partly due to missing modalities in multi-omics data. We present MKDR, a deep learning framework that integrates variational autoencoder-based modality completion with knowledge distillation to transfer information from complete...

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Literature Corpus work: 4c24004f-f2a8-5e48-8cb6-bc9aba3a8f84
DOI: 10.21203/rs.3.rs-6590717/v1

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