Analyzing 'omics data using hierarchical models

被引：43

作者：

Ji, Hongkai ^{[1
]}

Liu, X. Shirley ^{[2
]}

机构：

[1] Johns Hopkins Bloomberg Sch Publ Hlth, Dept Biostat, Baltimore, MD USA

[2] Harvard Univ, Sch Publ Hlth, Dana Farber Canc Inst, Dept Biostat & Computat Biol, Boston, MA 02115 USA

来源：

NATURE BIOTECHNOLOGY | 2010年 / 28卷 / 04期

关键词：

D O I：

10.1038/nbt.1619

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

Hierarchical models provide reliable statistical estimates for data sets from high-throughput experiments where measurements vastly outnumber experimental samples.

引用

页码：337 / 340

页数：4

共 10 条

[1] The Bayesian revolution in genetics [J].

Beaumont, MA ;

Rannala, B .

NATURE REVIEWS GENETICS, 2004, 5 (04) :251-261

[2] Enriching the analysis of genomewide association studies with hierarchical modeling [J].

Chen, Gary K. ;

Witte, John S. .

AMERICAN JOURNAL OF HUMAN GENETICS, 2007, 81 (02) :397-404

[3]

Gelman A., 2004, BAYESIAN DATA ANAL, V2nd

[4]

Hastie T., 2009, Springer Series in Statistics, V2nd ed., DOI DOI 10.1007/978-0-387-84858-7

[5] TileMap: create chromosomal map of tiling array hybridizations [J].

Ji, HK ;

Wong, WH .

BIOINFORMATICS, 2005, 21 (18) :3629-3636

[6]

Ramsey F.L, 2002, STAT SLEUTH COURSE M, Vsecond

[7] Intensity-based hierarchical Bayes method improves testing for differentially expressed genes in microarray experiments [J].

Sartor, Maureen A. ;

Tomlinson, Craig R. ;

Wesselkamper, Scott C. ;

Sivaganesan, Siva ;

Leikauf, George D. ;

Medvedovic, Mario .

BMC BIOINFORMATICS, 2006, 7 (1)

[8]

Smyth GK., 2004, Stat Appl Genet Mol Biol, V3, pArticl, DOI [10.2202/1544-6115.1027, DOI 10.2202/1544-6115.1027]

[9] Regression shrinkage and selection via the Lasso [J].

Tibshirani, R .

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 1996, 58 (01) :267-288

[10] CisModule:: De novo discovery of' cis-regulatory modules by hierarchical mixture modeling [J].

Zhou, Q ;

Wong, WH .

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2004, 101 (33) :12114-12119

← 1 →