Title |
RIDDLE: reflective diffusion and local extension reveal functional associations for unannotated gene sets via proximity in a gene network
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Published in |
Genome Biology, December 2012
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DOI | 10.1186/gb-2012-13-12-r125 |
Pubmed ID | |
Authors |
Peggy I Wang, Sohyun Hwang, Rodney P Kincaid, Christopher S Sullivan, Insuk Lee, Edward M Marcotte |
Abstract |
The growing availability of large-scale functional networks has promoted the development of many successful techniques for predicting functions of genes. Here we extend these network-based principles and techniques to functionally characterize whole sets of genes. We present RIDDLE (Reflective Diffusion and Local Extension), which uses well developed guilt-by-association principles upon a human gene network to identify associations of gene sets. RIDDLE is particularly adept at characterizing sets with no annotations, a major challenge where most traditional set analyses fail. Notably, RIDDLE found microRNA-450a to be strongly implicated in ocular diseases and development. A web application is available at http://www.functionalnet.org/RIDDLE. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Japan | 1 | 20% |
United Kingdom | 1 | 20% |
Germany | 1 | 20% |
United States | 1 | 20% |
Unknown | 1 | 20% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 40% |
Members of the public | 2 | 40% |
Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 8% |
Korea, Republic of | 1 | 2% |
Hungary | 1 | 2% |
Mexico | 1 | 2% |
Slovenia | 1 | 2% |
Unknown | 53 | 85% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 22 | 35% |
Researcher | 18 | 29% |
Student > Master | 5 | 8% |
Professor | 4 | 6% |
Student > Bachelor | 4 | 6% |
Other | 8 | 13% |
Unknown | 1 | 2% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 27 | 44% |
Computer Science | 14 | 23% |
Biochemistry, Genetics and Molecular Biology | 9 | 15% |
Engineering | 3 | 5% |
Mathematics | 2 | 3% |
Other | 3 | 5% |
Unknown | 4 | 6% |