| Title |
Mining Pure, Strict Epistatic Interactions from High-Dimensional Datasets: Ameliorating the Curse of Dimensionality
|
|---|---|
| Published in |
PLOS ONE, October 2012
|
| DOI | 10.1371/journal.pone.0046771 |
| Pubmed ID | |
| Authors |
Xia Jiang, Richard E. Neapolitan |
| Abstract |
The interaction between loci to affect phenotype is called epistasis. It is strict epistasis if no proper subset of the interacting loci exhibits a marginal effect. For many diseases, it is likely that unknown epistatic interactions affect disease susceptibility. A difficulty when mining epistatic interactions from high-dimensional datasets concerns the curse of dimensionality. There are too many combinations of SNPs to perform an exhaustive search. A method that could locate strict epistasis without an exhaustive search can be considered the brass ring of methods for analyzing high-dimensional datasets. |
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 50% |
| United States | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 5% |
| Spain | 1 | 2% |
| Unknown | 41 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 36% |
| Student > Ph. D. Student | 12 | 27% |
| Student > Master | 6 | 14% |
| Professor > Associate Professor | 4 | 9% |
| Lecturer | 1 | 2% |
| Other | 2 | 5% |
| Unknown | 3 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 12 | 27% |
| Agricultural and Biological Sciences | 9 | 20% |
| Medicine and Dentistry | 6 | 14% |
| Biochemistry, Genetics and Molecular Biology | 4 | 9% |
| Neuroscience | 3 | 7% |
| Other | 7 | 16% |
| Unknown | 3 | 7% |