sJIVE: Supervised joint and individual variation explained-Reference-Cited by-同舟云学术

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sJIVE: Supervised joint and individual variation explained

Published:2022-11 Issue: Volume:175 Page:107547
ISSN:0167-9473
Container-title:Computational Statistics & Data Analysis
language:en
Short-container-title:Computational Statistics & Data Analysis

Author:

Palzer Elise F.,Wendt Christine H.,Bowler Russell P.^ORCID,Hersh Craig P.^ORCID,Safo Sandra E.,Lock Eric F.^ORCID

Funder

National Institutes of Health

National Heart, Lung, and Blood Institute

U.S. Department of Veterans Affairs

GlaxoSmithKline

Novartis

COPD Foundation

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computational Mathematics,Statistics and Probability

Reference40 articles.

1. Multi-omics factor analysis - a framework for unsupervised integration of multi-omics data sets;Argelaguet;Mol. Syst. Biol.,2018

2. Prediction by supervised principal components;Bair;J. Am. Stat. Assoc.,2006

3. The association of plasma biomarkers with computed tomography-assessed emphysema phenotypes;Carolan;Respir. Res.,2014

4. Systemic soluble receptor for advanced glycation endproducts is a biomarker of emphysema and associated with AGER genetic variants in patients with chronic obstructive pulmonary disease;Cheng;Am. J. Respir. Crit. Care Med.,2013

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