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- Title
Chapter 2: Data-Driven View of Disease Biology.
- Authors
Greene, Casey S.; Troyanskaya, Olga G.
- Abstract
Modern experimental strategies often generate genomescale measurements of human tissues or cell lines in various physiological states. Investigators often use these datasets individually to help elucidate molecular mechanisms of human diseases. Here we discuss approaches that effectively weight and integrate hundreds of heterogeneous datasets to genegene networks that focus on a specific process or disease. Diverse and systematic genome-scale measurements provide such approaches both a great deal of power and a number of challenges. We discuss some such challenges as well as methods to address them. We also raise important considerations for the assessment and evaluation of such approaches. When carefully applied, these integrative data-driven methods can make novel highquality predictions that can transform our understanding of the molecular-basis of human disease.
- Subjects
ETIOLOGY of diseases; MEDICAL genetics; BIOLOGICAL databases; MOLECULAR pathology; NUCLEOTIDE sequence
- Publication
PLoS Computational Biology, 2012, Vol 8, Issue 12, p1
- ISSN
1553-734X
- Publication type
Article
- DOI
10.1371/journal.pcbi.1002816