IPF-LASSO: integrative \(L_1\)-penalized regression with penalty factors for prediction based on multi-omics data

DOI10.1155/2017/7691937zbMath1370.92016OpenAlexW2258675270WikidataQ36382215 ScholiaQ36382215MaRDI QIDQ2405418

Mathias Fuchs, Xiaoyu Jiang, Anne-Laure Boulesteix, Riccardo De Bin

Publication date: 25 September 2017

Published in: Computational \& Mathematical Methods in Medicine (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2017/7691937

zbMATH Keywords

omics dataintegrative LASSO with penalty factorssimple \(L_1\)-penalized regression method

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) General biostatistics (92B15) General nonlinear regression (62J02)

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Uses Software

• R
• glasso
• glmnet
• PMA

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