A biological network-based regularized artificial neural network model for robust phenotype prediction from gene expression data

A biological network-based regularized artificial neural network model for robust phenotype prediction from gene expression data

Abstract Background Stratification of patient subpopulations that respond favorably to treatment or experience and adverse reaction is an essential step toward development of new personalized therapies and diagnostics. It is currently feasible to generate omic-scale biological measurements for all p...

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Bibliographic Details
Main Authors: Tianyu Kang, Wei Ding, Luoyan Zhang, Daniel Ziemek, Kourosh Zarringhalam
Format: Article
Language:English
Published: BMC 2017-12-01
Series:BMC Bioinformatics
Subjects:
Artificial neural network
Gene regulatory networks
Prediction of response
Clinical trial
Group Lasso
Online Access:http://link.springer.com/article/10.1186/s12859-017-1984-2

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http://link.springer.com/article/10.1186/s12859-017-1984-2

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