Gene set enrichment in eQTL data identifies novel annotations and pathway regulators.
Genome-wide gene expression profiling has been extensively used to generate biological hypotheses based on differential expression. Recently, many studies have used microarrays to measure gene expression levels across genetic mapping populations. These gene expression phenotypes have been used for g...
Saved in:
| Main Authors: | Chunlei Wu, David L Delano, Nico Mitro, Stephen V Su, Jeff Janes, Phillip McClurg, Serge Batalov, Genevieve L Welch, Jie Zhang, Anthony P Orth, John R Walker, Richard J Glynne, Michael P Cooke, Joseph S Takahashi, Kazuhiro Shimomura, Akira Kohsaka, Joseph Bass, Enrique Saez, Tim Wiltshire, Andrew I Su |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2008-05-01
|
| Series: | PLoS Genetics |
| Online Access: | https://journals.plos.org/plosgenetics/article/file?id=10.1371/journal.pgen.1000070&type=printable |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Learning a prior on regulatory potential from eQTL data.
by: Su-In Lee, et al.
Published: (2009-01-01) -
ADELLE: A global testing method for trans-eQTL mapping.
by: Takintayo Akinbiyi, et al.
Published: (2025-01-01) -
Leveraging allelic imbalance to refine fine-mapping for eQTL studies.
by: Jennifer Zou, et al.
Published: (2019-12-01) -
Optimized summary-statistic-based single-cell eQTL meta-analysis
by: Maryna Korshevniuk, et al.
Published: (2025-08-01) -
Potential Targets Related to Skin Aging: Based on eQTL and GWAS Datasets
by: Shi H, et al.
Published: (2025-03-01)