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Integrating ensemble systems biology feature selection and bimodal deep neural network for breast cancer prognosis prediction

2019-10-18

Abstract excerpt

<h4>Motivation</h4> Breast cancer is a heterogeneous disease. In order to guide proper treatment decisions for each individual patient, there is an urgent need for robust prognostic biomarkers that allow reliable prognosis prediction. Gene feature selection on microarray data is an approach to systematically discover potential biomarkers. However, common pure-statistical feature selection approaches often fail to...

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Literature Corpus work
16be7473-349a-52db-a0c5-8227f24d032a
DOI
10.1101/810176
Open publication

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Integrating ensemble systems biology feature selection and bimodal deep neural network for breast cancer prognosis predictionDOI 10.1101/810176
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