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Reviewer ' s report Title : Spatially Uniform ReliefF : Increasing the Power to Detect Epistasis in Genetic Association Studies
| Content Provider | Semantic Scholar |
|---|---|
| Author | McKinney, Brett A. |
| Abstract | ReliefF is a datamining algorithm capable of identifying attribute interactions, which is a significant challenge in genetic associations studies. ReliefF is a metric-based method that scores the relevance of an attribute to the phenotype by calculating how well the attribute separates nearest-neighbor instances with different phenotype status. The number of nearest neighbors is a user-chosen parameter, which is typically set to 10 with little further discussion. Instead of considering a fixed number of nearest neighbors, the authors consider a variable number of nearest neighbors within a fixed radius of a given instance, and they provide a statistical framework for guiding the choice of this radius. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.biodatamining.org/imedia/1666073160272386_comment.pdf |
| Alternate Webpage(s) | http://www.biodatamining.org/imedia/1873829432279102_comment.pdf |
| Alternate Webpage(s) | http://www.biodatamining.org/imedia/4480866662810837_comment.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Report |
