IPF-LASSO: Integrative L (1)-Penalized Regression with Penalty Factors for Prediction Based on Multi-Omics Data

As modern biotechnologies advance, it has become increasingly frequent that different modalities of high-dimensional molecular data (termed “omics” data in this paper), such as gene expression, methylation, and copy number, are collected from the same patient cohort to predict the clinical outcome....

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Veröffentlicht in:Comput Math Methods Med
Hauptverfasser: Boulesteix, Anne-Laure, De Bin, Riccardo, Jiang, Xiaoyu, Fuchs, Mathias
Format: Artigo
Sprache:Inglês
Veröffentlicht: Hindawi 2017
Schlagworte:
Research Article
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5435977/
https://ncbi.nlm.nih.gov/pubmed/28546826
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2017/7691937
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