Down-weighting overlapping genes improves gene set analysis
<p>Abstract</p> <p>Background</p> <p>The identification of gene sets that are significantly impacted in a given condition based on microarray data is a crucial step in current life science research. Most gene set analysis methods treat genes equally, regardless how spec...
Main Authors: | Tarca Adi, Draghici Sorin, Bhatti Gaurav, Romero Roberto |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2012-06-01
|
Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | http://www.biomedcentral.com/1471-2105/13/136 |
Similar Items
-
Editorial: Advancement in Gene Set Analysis: Gaining Insight From High-Throughput Data
by: Farhad Maleki, et al.
Published: (2022-05-01) -
A Bayesian variable selection procedure to rank overlapping gene sets
by: Skarman Axel, et al.
Published: (2012-05-01) -
GScluster: network-weighted gene-set clustering analysis
by: Sora Yoon, et al.
Published: (2019-05-01) -
Statistical Approach of Gene Set Analysis with Quantitative Trait Loci for Crop Gene Expression Studies
by: Samarendra Das, et al.
Published: (2021-07-01) -
Size matters: how sample size affects the reproducibility and specificity of gene set analysis
by: Farhad Maleki, et al.
Published: (2019-10-01)