학술논문

The Integration of Biological Pathway Knowledge in Cancer Genomics: A review of existing computational approaches
Document Type
Periodical
Source
IEEE Signal Processing Magazine IEEE Signal Process. Mag. Signal Processing Magazine, IEEE. 29(1):35-50 Jan, 2012
Subject
Signal Processing and Analysis
Communication, Networking and Broadcast Technologies
Computing and Processing
Cancer
Molecular biophysics
Genetics
Cells (biology)
Biological cells
Diseases
Proteomics
Genomics
Language
ISSN
1053-5888
1558-0792
Abstract
Cancer etiology and progression is currently understood to be driven primarily by molecular and genetic mechanisms. The textbook model of cancer development is of progression through a series of increasingly disordered pathological phases with primary tumors typically consisting of populations of cells with genetic abnormalities that enable them to multiply, overcome organ boundaries, disseminate, and finally colonize distant sites [1], [2]. Early insights into cancer biology were based on individual oncogenes or tumor suppressors, the past couple of decades have conclusively shown that cancer is a complex disease involving the interactions of multiple genes in poorly understood manners.