Identification of Aberrant Pathways and Network Activities from High-throughput Data

Overview

Journal Brief Bioinform

Publisher Oxford University Press

Specialty Biology

Date 2012 Jan 31

PMID 22287794

Citations 15

Authors

Jinlian Wang

Yuji Zhang

Catalin Marian

Habtom W Ressom

Affiliations

Soon will be listed here.

Abstract

Many complex diseases such as cancer are associated with changes in biological pathways and molecular networks rather than being caused by single gene alterations. A major challenge in the diagnosis and treatment of such diseases is to identify characteristic aberrancies in the biological pathways and molecular network activities and elucidate their relationship to the disease. This review presents recent progress in using high-throughput biological assays to decipher aberrant pathways and network activities. In particular, this review provides specific examples in which high-throughput data have been applied to identify relationships between diseases and aberrant pathways and network activities. The achievements in this field have been remarkable, but many challenges have yet to be addressed.

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