Ensemble disease gene prediction by clinical sample-based networks

Volume: 21, Issue: S2
Published: Mar 1, 2020
Abstract
Background Disease gene prediction is a critical and challenging task. Many computational methods have been developed to predict disease genes, which can reduce the money and time used in the experimental validation. Since proteins (products of genes) usually work together to achieve a specific function, biomolecular networks, such as the protein-protein interaction (PPI) network and gene co-expression networks, are widely used to predict...
Paper Details
Title
Ensemble disease gene prediction by clinical sample-based networks
Published Date
Mar 1, 2020
Volume
21
Issue
S2
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