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Predicting the Prognosis of Non-Small Cell Lung Cancer by Integrating Microarray and Clinical Data with Deep Learning

2019-06-11

Abstract excerpt

<h4> A bstract </h4> Non-small cell lung cancer (NSCLC) is one of the most common lung cancers worldwide. Accurate prognostic stratification of NSCLC can become an important clinical reference when designing therapeutic strategies for cancer patients. With this clinical application in mind, we developed a deep neural network (DNN) combining heterogeneous data sources of gene expression and clinical data to accu...

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Literature Corpus work
a4e49b29-6564-5a1d-a7b8-3b6104da7b67
DOI
10.1101/656140
Open publication

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Predicting the Prognosis of Non-Small Cell Lung Cancer by Integrating Microarray and Clinical Data with Deep LearningDOI 10.1101/656140
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