Title |
Gene interaction enrichment and network analysis to identify dysregulated pathways and their interactions in complex diseases
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Published in |
BMC Systems Biology, June 2012
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DOI | 10.1186/1752-0509-6-65 |
Pubmed ID | |
Authors |
Yu Liu, Mehmet Koyutürk, Jill S Barnholtz-Sloan, Mark R Chance |
Abstract |
The molecular behavior of biological systems can be described in terms of three fundamental components: (i) the physical entities, (ii) the interactions among these entities, and (iii) the dynamics of these entities and interactions. The mechanisms that drive complex disease can be productively viewed in the context of the perturbations of these components. One challenge in this regard is to identify the pathways altered in specific diseases. To address this challenge, Gene Set Enrichment Analysis (GSEA) and others have been developed, which focus on alterations of individual properties of the entities (such as gene expression). However, the dynamics of the interactions with respect to disease have been less well studied (i.e., properties of components ii and iii). |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United States | 2 | 2% |
Germany | 1 | 1% |
Netherlands | 1 | 1% |
New Caledonia | 1 | 1% |
Chile | 1 | 1% |
United Kingdom | 1 | 1% |
Austria | 1 | 1% |
Unknown | 76 | 90% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 26 | 31% |
Researcher | 18 | 21% |
Professor > Associate Professor | 10 | 12% |
Student > Bachelor | 7 | 8% |
Student > Master | 5 | 6% |
Other | 14 | 17% |
Unknown | 4 | 5% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 29 | 35% |
Biochemistry, Genetics and Molecular Biology | 13 | 15% |
Computer Science | 12 | 14% |
Medicine and Dentistry | 6 | 7% |
Engineering | 6 | 7% |
Other | 9 | 11% |
Unknown | 9 | 11% |