Phenotype Prediction Using Regularized Regression on Genetic Data in the DREAM5 Systems Genetics B Challenge
A major goal of large-scale genomics projects is to enable the use of data from high-throughput experimental methods to predict complex phenotypes such as disease susceptibility. The DREAM5 Systems Genetics B Challenge solicited algorithms to predict soybean plant resistance to the pathogen Phytopht...
Main Authors: | , , |
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Other Authors: | |
Format: | Article |
Language: | en_US |
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Public Library of Science
2012
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Online Access: | http://hdl.handle.net/1721.1/69039 https://orcid.org/0000-0002-2724-7228 |