Evaluation of hierarchical models for integrative genomic analyses | Zendy

Marie Denis | Zendy; Mahlet G. Tadesse | Zendy

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Evaluation of hierarchical models for integrative genomic analyses

Author(s) -

Marie Denis,

Mahlet G. Tadesse

Publication year - 2015

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btv653

Subject(s) - computer science , source code , biological data , data type , data mining , computational biology , bioinformatics , biology , programming language , operating system

Advances in high-throughput technologies have led to the acquisition of various types of -omic data on the same biological samples. Each data type gives independent and complementary information that can explain the biological mechanisms of interest. While several studies performing independent analyses of each dataset have led to significant results, a better understanding of complex biological mechanisms requires an integrative analysis of different sources of data.

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