Article

Deep learning of representations for transcriptomics-based phenotype prediction

2019-03-12

Abstract excerpt

The ability to predict health outcomes from gene expression would catalyze a revolution in molecular diagnostics. This task is complicated because expression data are high dimensional whereas each experiment is usually small (e.g., ∼ 20,000 genes may be measured for ∼ 100 subjects). However, thousands of transcriptomics experiments with hundreds of thousands of samples are available in public repositories. Can r...

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Literature Corpus work: c35cfce3-c6c7-5e3a-976b-72069366dc4f
DOI: 10.1101/574723

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