Parenclitic networks for predicting ovarian cancer
Abstract
Prediction and diagnosis of complex disease may not always be possible with a small number of biomarkers. Modern 'omics' technologies make it possible to cheaply and quantitatively assay hundreds of molecules generating large amounts of data from individual samples. In this study, we describe a parenclitic network-based approach to disease classification using a synthetic data set modelled on data from the United Kingdom Collaborative Trial of...
Paper Details
Title
Parenclitic networks for predicting ovarian cancer
Published Date
Apr 27, 2018
Journal
Volume
9
Issue
32
Pages
22717 - 22726
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History