Estimation and control of multiple testing error rates for microarray studies-Reference-Cited by-同舟云学术

Estimation and control of multiple testing error rates for microarray studies

Published:2006-03-01 Issue:1 Volume:7 Page:25-36
ISSN:1467-5463
Container-title:Briefings in Bioinformatics
language:en
Short-container-title:

Author:

Pounds Stanley B.¹

Affiliation:

1. Stanley Pounds is an Assistant Member of the Department of Biostatistics, St. Jude Children's Research Hospital, Memphis, TN, USA. His research focuses on developing and improving statistical methods for the analysis of microarray gene expression data, with special emphasis on methods that estimate or control multiple testing error rates.

Publisher

Oxford University Press (OUP)

Subject

Molecular Biology,Information Systems

Link

http://academic.oup.com/bib/article-pdf/7/1/25/23992471/bbk002.pdf

Reference48 articles.

1. DNA microarrays: vital statistics;Tilstone;Nature,2003

2. Statistical significance for genomewide studies;Storey;Proc Nat Acad Sci USA,2003

3. Estimating the occurrence of false positives and false negatives in microarray studies by approximating and partitioning the empirical distribution of P-values;Pounds;Bioinformatics,2003

4. Multiple Testing. Part I. Single-step procedures for control of general type I error rates;Dudoit;Statistical Applications in Genetics and Molecular Biology,2004

5. Controlling the false discovery rate: a practical and powerful approach to multiple testing;Benjamini;J Roy Stat Soc B,1995

Cited by 75 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Association Between the Serum Phosphate Levels and Hospital Mortality as Well as 90-Day Mortality Among Critically Ill Patients with Chronic Obstructive Pulmonary Disease: A Retrospective Cohort Study;International Journal of Chronic Obstructive Pulmonary Disease;2024-07

2. Quantitative Proteomics Reveals Transforming Growth Factor β Receptor Targeted by Resveratrol and Hesperetin Coformulation in Endothelial Cells;ACS Omega;2023-04-25

3. ASpediaFI: Functional Interaction Analysis of Alternative Splicing Events;Genomics, Proteomics & Bioinformatics;2022-06

4. Profiling the Skeletal Muscle Proteome in Patients on Atypical Antipsychotics and Mood Stabilizers;Brain Sciences;2022-02-12

5. Differential Levels of mRNAs in Normal B Lymphocytes, Monoclonal B Lymphocytosis and Chronic Lymphocytic Leukemia Cells from the Same Family Identify Susceptibility Genes;Oncology and Therapy;2021-10-07