Information content and analysis methods for multi-modal high-throughput biomedical data.

ABSTRACT: The spectrum of modern molecular high-throughput assaying includes diverse technologies such as microarray gene expression, miRNA expression, proteomics, DNA methylation, among many others. Now that these technologies have matured and become increasingly accessible, the next frontier is to collect "multi-modal" data for the same set of subjects and conduct integrative, multi-level analyses. While multi-modal data does contain distinct biological information that can be useful for answering complex biology questions, its value for predicting clinical phenotypes and contributions of each type of input remain unknown. We obtained 47 datasets/predictive tasks that in total span over 9 data modalities and executed analytic experiments for predicting various clinical phenotypes and outcomes. Fir

SUBMITTER: Ray B 

PROVIDER: S-EPMC3961740 | biostudies-literature | 2014 Mar

REPOSITORIES: biostudies-literature