Meta Analysis of Microarray Data Using Gene Regulation Pathways
- Resource Type
- Conference
- Authors
- Kazmi, Saira Ali; Kim, Yoo-Ah; Pei, Baikang; Ravi, Nori; Rowe, David W.; Wang, Hsin-Wei; Wong, Alan; Shin, Dong-Guk
- Source
- 2008 IEEE International Conference on Bioinformatics and Biomedicine Bioinformatics and Biomedicine, 2008. BIBM '08. IEEE International Conference on. :37-42 Nov, 2008
- Subject
- Bioengineering
Computing and Processing
Data analysis
Spraying
Databases
Biological system modeling
Genetics
Biology
Data visualization
Bioinformatics
Computer science
Biomedical engineering
Meta-analysis
Gene regulation pathway
Microarray
Consistency
- Language
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.