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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...

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書誌詳細
主要な著者: Loh, Po-Ru, Tucker, George, Berger, Bonnie
フォーマット: Artigo
言語:Inglês
出版事項: Public Library of Science 2011
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC3247233/
https://ncbi.nlm.nih.gov/pubmed/22216175
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0029095
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