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Deep learning accurately predicts estrogen receptor status in breast cancer metabolomics data

2017-11-06

Abstract excerpt

<h4>ABSTRACT</h4> Metabolomics holds the promise as a new technology to diagnose highly heterogeneous diseases. Conventionally, metabolomics data analysis for diagnosis is done using various statistical and machine learning based classification methods. However, it remains unknown if deep neural network, a class of increasingly popular machine learning methods, is suitable to classify metabolomics data. Here we u...

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Literature Corpus work
5c0fe112-0d05-5ed2-86da-d4952f8fc61b
DOI
10.1101/214254
Open publication

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Deep learning accurately predicts estrogen receptor status in breast cancer metabolomics dataDOI 10.1101/214254
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