Deciphering the complex: Methodological overview of statistical models to derive OMICS-based biomarkers-Reference-Cited by-同舟云学术

Deciphering the complex: Methodological overview of statistical models to derive OMICS-based biomarkers

Published:2013-08 Issue:7 Volume:54 Page:542-557
ISSN:0893-6692
Container-title:Environmental and Molecular Mutagenesis
language:en
Short-container-title:Environ. Mol. Mutagen.

Author:

Chadeau-Hyam Marc¹,Campanella Gianluca¹,Jombart Thibaut²,Bottolo Leonardo³,Portengen Lutzen⁴,Vineis Paolo,Liquet Benoit⁵,Vermeulen Roel C.H.

Affiliation:

1. Department of Epidemiology and Biostatistics, MRC-HPA Centre for Environment and Health; School of Public Health, Imperial College London; Norfolk Place; London; W2 1PG; United Kingdom

2. Department of Infectious Disease Epidemiology, MRC Centre for Outbreak Analysis and Modelling; Imperial College; London; United Kingdom

3. Department of Mathematics; Imperial College; London; United Kingdom

4. Institute for Risk Assessment; Utrecht University; Utrecht; The Netherlands

5. MRC Biostatistics Unit; Institute of Public Health; Cambridge; United Kingdom

Publisher

Wiley

Subject

Health, Toxicology and Mutagenesis,Genetics (clinical),Epidemiology

Reference122 articles.

1. Bolasso: Model consistent Lasso estimation through the bootstrap;Bach;Comput Res Reposit,2008

2. A tutorial on statistical methods for population association studies;Balding;Nat Rev Genet,2006

3. Bayesian variable selection for probit mixed models applied to gene selection;Baragatti;Bayesian Anal,2011

4. A study of variable selection using g-prior distribution with ridge parameter;Baragatti;Comput Stat Data Anal,2012

5. Patterns of DNA methylation in individual colonic crypts reveal aging and cancer-related field defects in the morphologically normal mucosa;Belshaw;Carcinogenesis,2010

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