Accounting for extra‐binomial variability with differentially expressed genetic pathway data: A collaborative bioinformatic study-Reference-Cited by-同舟云学术

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Accounting for extra‐binomial variability with differentially expressed genetic pathway data: A collaborative bioinformatic study

Published:2023-01-02 Issue:1 Volume:12 Page:
ISSN:2049-1573
Container-title:Stat
language:en
Short-container-title:Stat

Author:

Aberasturi Dillon T.¹²,Piegorsch Walter W.¹²³^ORCID,Bedrick Edward J.¹²³⁴,Lussier Yves A.⁵

Affiliation:

1. BIO5 Institute University of Arizona Tucson Arizona 85721 USA

2. Interdisciplinary Program in Statistics University of Arizona Tucson Arizona 85721 USA

3. Center for Bioinformatics and Biostatistics University of Arizona Tucson Arizona 85721 USA

4. Department of Epidemiology and Biostatistics University of Arizona Tucson Arizona 85721 USA

5. Department of Biomedical Informatics University of Utah Salt Lake City Utah 84132 USA

Funder

National Institutes of Health

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sta4.518

Reference26 articles.

1. ‘Single-subject studies’-derived analyses unveil altered biomechanisms between very small cohorts: implications for rare diseases

2. Gene set enrichment analysis with topGO;Alexa A.;Bioconductor Improv,2009

3. Significance analysis of functional categories in gene expression studies: a structured permutation approach

4. A statistical framework for testing functional categories in microarray data

5. Discovering the false discovery rate

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