title: Identification of aberrant pathways and network activities from high-throughput data.
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.
authors.affiliation: Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC 20057, USA.
authors.forename: Jinlian
authors.initials: J
authors.lastname: Wang
authors.forename: Yuji
authors.initials: Y
authors.lastname: Zhang
authors.forename: Catalin
authors.initials: C
authors.lastname: Marian
authors.forename: Habtom W
authors.initials: HW
authors.lastname: Ressom
mesh_terms: D016208:Databases, Factual; D053263:Gene Regulatory Networks; D057166:High-Throughput Screening Assays; D049490:Systems Biology