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URL: http://dlin.web.unc.edu/software/gwaselect-2/
Proper Citation: GWASELECT (RRID:SCR_013303)
Description: Software application that implements a novel variable selection method for GWAS data and is able to handle more than half million SNPs. Extensive simulation studies and real data analysis show that this method enjoys high power and low false discovery rate compared to existing variable selection methods. The variables selected by GWASelect can be readily placed into a logistic regression model for disease prediction. The current release is designed for binary outcome under the additive mode of inheritance. (entry from Genetic Analysis Software)
Abbreviations: GWASELECT
Resource Type: software resource, software application
Keywords: gene, genetic, genomic
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The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant 2U24DK097771-09.
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