Data integration by multi-tuning parameter elastic net regression

Data integration by multi-tuning parameter elastic net regression

Abstract Background To integrate molecular features from multiple high-throughput platforms in prediction, a regression model that penalizes features from all platforms equally is commonly used. However, data from different platforms are likely to differ in effect sizes, the proportion of predictive...

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Bibliographic Details
Main Authors: Jie Liu, Gangning Liang, Kimberly D Siegmund, Juan Pablo Lewinger
Format: Article
Language:English
Published: BMC 2018-10-01
Series:BMC Bioinformatics
Subjects:
Data integration
Classification
Elastic net
Online Access:http://link.springer.com/article/10.1186/s12859-018-2401-1

Internet

http://link.springer.com/article/10.1186/s12859-018-2401-1

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