Paper Info
Title
Meta Analysis of Microarray Data Using Gene Regulation Pathways
Abstract
Using microarray technology for genetic analysis in biological experiments requires computationally intensive tools to interpret results. The main objective here is to develop a “meta-analysis” tool that enables researchers to “spray” microarray data over a network of relevant gene regulation relationships, extracted from a database of published gene regulatory pathway models. The consistency of the data from a microarray experiment is evaluated to determine if it agrees or contradicts with previous findings. The database is limited to “activate” and “inhibit” gene regulatory relationships at this point and a heuristic graph based approach is developed for consistency checking. Predictions are made for the regulation of genes that were not a part of the microarray experiment, but are related to the experiment through regulatory relationships. This meta-analysis will not only highlight consistentfindings but also pinpoint genes that were missed in earlier experiments and should be considered in subsequent analysis.
Year
DOI
Venue
2008
10.1109/BIBM.2008.32
BIBM
Keywords
Field
DocType
gene regulation pathways,biological experiment,regulatory relationship,relevant gene regulation relationship,microarray data,regulatory pathway model,gene regulatory relationship,microarray technology,meta analysis,microarray experiment,earlier experiment,published gene,microarray,consistency,data analysis,gene regulation,genetics,genetic analysis
Data mining,Gene,Microarray,Computer science,Regulation of gene expression,Microarray analysis techniques,Bioinformatics,Gene chip analysis,Microarray databases,Meta-analysis,Regulatory Pathway
Conference
ISSN
Citations 
PageRank 
2156-1125
1
0.40
References 
Authors
9
8
Name
Order
Citations
PageRank
Saira Ali Kazmi110.40
Yoo-ah Kim233522.65
Baikang Pei373.17
Ravi Nori422.47
David W. Rowe583.19
Hsin-Wei Wang6426.56
Alan Wong710.40
D. G. Shin8122116.10