Skip to main content
Journal ArticleOPEN ACCESS

Multiple sources of bias confound functional enrichment analysis of global -omics data

Genome Biology (2015) 16(1)
DOI: 10.1186/s13059-015-0761-7
111Citations
Citations of this article
322Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Serious and underappreciated sources of bias mean that extreme caution should be applied when using or interpreting functional enrichment analysis to validate findings from global RNA- or protein-expression analyses.

References Powered by Scopus

Gene ontology: Tool for the unification of biology

Nature Genetics
32186Citations
N/AReaders
Get full text

Gene ontology analysis for RNA-seq: accounting for selection bias

Genome Biology
5296Citations
N/AReaders
Get full text

Obesity accelerates epigenetic aging of human liver

Proceedings of the National Academy of Sciences of the United States of America
551Citations
N/AReaders
Get full text
View more at Scopus

Cited by Powered by Scopus

The STRING database in 2021: Customizable protein-protein networks, and functional characterization of user-uploaded gene/measurement sets

Nucleic Acids Research
4897Citations
N/AReaders
Get full text

Human Gut Microbiome: Function Matters

Trends in Microbiology
492Citations
N/AReaders
Get full text

Identification of methylation haplotype blocks AIDS in deconvolution of heterogeneous tissue samples and tumor tissue-of-origin mapping from plasma DNA

Nature Genetics
363Citations
N/AReaders
Get full text
View more at Scopus

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Timmons, J. A., Szkop, K. J., & Gallagher, I. J. (2015). Multiple sources of bias confound functional enrichment analysis of global -omics data. Genome Biology, 16(1). https://doi.org/10.1186/s13059-015-0761-7

Readers over time

‘15‘16‘17‘18‘19‘20‘21‘22‘23‘24‘25015304560

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 129

59%

Researcher 70

32%

Professor / Associate Prof. 17

8%

Lecturer / Post doc 3

1%

Readers' Discipline

Tooltip

Agricultural and Biological Sciences 104

48%

Biochemistry, Genetics and Molecular Bi... 82

38%

Computer Science 16

7%

Medicine and Dentistry 13

6%

Article Metrics

Tooltip
Social Media
Shares, Likes & Comments: 2

Save time finding and organizing research with Mendeley

Sign up for free
0