Predicting the difficulty of pure, strict, epistatic models: metrics for simulated model selection
<p>Abstract</p> <p>Background</p> <p>Algorithms designed to detect complex genetic disease associations are initially evaluated using simulated datasets. Typical evaluations vary constraints that influence the correct detection of underlying models (i.e. number of loci,...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2012-09-01
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| Series: | BioData Mining |
| Subjects: | |
| Online Access: | http://www.biodatamining.org/content/5/1/15 |