| Info. | Vol.3 - No.4 (2009.12.20) |
|---|---|
| Title | METASIS: The Meta-analysis Tool for Biochip Data |
| Authors | Mi-Kyung Lee1 & Yang-Seok Kim1 |
| Institutions | 1College of Oriental Medicine, KyungHee University, Hoegi-dong, Dongdaemun-gu, Seoul, Korea Correspondence and requests for materials should be addressed to Y.-S. Kim (yskim1158@khu.ac.kr) |
| Abstract | Recently, many public databases such as CEBS (Chemical Effects in Biological Systems) and GEO (Gene Expression Omnibus) have been developed to provide raw expression data with their experimental conditions. The proper use of publically available raw data can be a very efficient method of making biological discoveries without performing experiments. However, one barrier to this approach is that the experiments from which the data in the databases were generated were performed using many different types of array platforms, which each produce information with different characteristics. Therefore, it is necessary to develop a program to provide a variety of statistical methods to integrate different types of expression data for meta-analysis. We have developed the METASIS meta-analysis software for analysis of expression arrays. METASIS can deal with various experimental data from all kinds of platforms if properly formatted files are provided. METASIS offers state of the art statistical methods, such as t-based modeling, rank product and Fisher?셲 inverse Chisquare method. In addition, Java was used as the programming language for METASIS. The software is available upon request via e-mail (yskim1158@khu.ac.kr). |
| Keyword | Gene expression, Meta-analysis, T-based, Rank product, Fisher?셲 inverse chi-square |
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