Article

Machine learning models to predict <i>in vivo</i> drug response via optimal dimensionality reduction of tumour molecular profiles

2018-03-06

Abstract excerpt

<h4>ABSTRACT</h4> Inter-tumour heterogeneity is one of cancer’s most fundamental features. Patient stratification based on drug response prediction is hence needed for effective anti-cancer therapy. However, lessons from the past indicate that single-gene markers of response are rare and/or often fail to achieve a significant impact in clinic. In this context, Machine Learning (ML) is emerging as a particularly p...

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Literature Corpus work: 75a70433-5642-5acc-8b10-1e35a15d6977
DOI: 10.1101/277772

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