Integrative analysis of multiple gene expression profiles with quality-adjusted effect size models |
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| Authors: | Pingzhao?Hu Celia?MT?Greenwood Email author" target="_blank">Joseph?BeyeneEmail author |
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| Institution: | (1) The Hospital for Sick Children Research Institute, 555 University Ave., Toronto, ON, M5G 1X8, Canada;(2) Department of Public Health Sciences, University of Toronto, 1 King's College Circle, Toronto, ON, M5S 1A8, Canada |
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| Abstract: | Background With the explosion of microarray studies, an enormous amount of data is being produced. Systematic integration of gene expression
data from different sources increases statistical power of detecting differentially expressed genes and allows assessment
of heterogeneity. The challenge, however, is in designing and implementing efficient analytic methodologies for combination
of data generated by different research groups. |
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