作者
Wenting Wang, Veerabhadran Baladandayuthapani, Jeffrey S Morris, Bradley M Broom, Ganiraju Manyam, Kim-Anh Do
发表日期
2013/1/15
期刊
Bioinformatics
卷号
29
期号
2
页码范围
149-159
出版商
Oxford University Press
简介
Motivation: Analyzing data from multi-platform genomics experiments combined with patients’ clinical outcomes helps us understand the complex biological processes that characterize a disease, as well as how these processes relate to the development of the disease. Current data integration approaches are limited in that they do not consider the fundamental biological relationships that exist among the data obtained from different platforms.
Statistical Model: We propose an integrative Bayesian analysis of genomics data (iBAG) framework for identifying important genes/biomarkers that are associated with clinical outcome. This framework uses hierarchical modeling to combine the data obtained from multiple platforms into one model.
Results: We assess the performance of our methods using several synthetic and real examples. Simulations show our integrative methods to have …
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