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Article

Predicting chemotherapy response using a variational autoencoder approach

2021-01-05

Abstract excerpt

<h4>Motivation</h4> Multiple studies have shown the utility of transcriptome-wide RNA-seq profiles as features for machine learning-based prediction of response to chemotherapy in cancer. While tumor transcriptome profiles are publicly available for thousands of tumors for many cancer types, a relatively modest number of tumor profiles are clinically annotated for response to chemotherapy. The paucity of labeled...

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Literature Corpus work
67460de0-1595-5dc1-a8a4-776d32cab7c4
DOI
10.1101/2021.01.04.425288
Open publication

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Predicting chemotherapy response using a variational autoencoder approachDOI 10.1101/2021.01.04.425288
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