Comparative analysis of network algorithms to address modularity with gene expression temporal data
Abstract
References
Index Terms
- Comparative analysis of network algorithms to address modularity with gene expression temporal data
Recommendations
Improving biological significance of gene expression biclusters with key missing genes
BCB '15: Proceedings of the 6th ACM Conference on Bioinformatics, Computational Biology and Health InformaticsIdentifying condition-specific co-expressed gene groups is critical for gene functional and regulatory analysis. However, given that genes with critical functions (such as transcription factors) may not co-express with their target genes, it is ...
Analysis of cancer-related lncRNAs using gene ontology and KEGG pathways
We investigated cancer-related lncRNAs using GO and KEGG enrichment scores of the co-expressed neighbors of lncRNAs.The biological analysis confirmed the crucial cancer associated GO term and KEGG pathways we screened out.This study provided novel ...
Gene Ontology analysis in multiple gene clusters under multiple hypothesis testing framework
Objective: Gene Ontology (GO) has become a routine resource for functional analysis of gene lists. Although a number of tools have been provided to identify enriched GO terms in one or two gene lists, two technical challenges remain. First, how to ...
Comments
Information & Contributors
Information
Published In
Sponsors
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Tutorial
- Research
- Refereed limited
Conference
Acceptance Rates
Upcoming Conference
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 154Total Downloads
- Downloads (Last 12 months)2
- Downloads (Last 6 weeks)0
Other Metrics
Citations
View Options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in