A Novel GWAS Analysis Method
OASIS is a novel linkage disequilibrium clustering algorithm that can potentially address false positives and negatives in genome-wide association studies (GWAS) in complex disorders. OASIS is a unique method that can be widely applied for mining existing GWAS datasets to identify new genes and loci in an efficient, low cost way.
released on 6 November 2016
|License||Verified by||Verified on||Notes|
|License:GPLv3orlater||tedt||2 June 2017|
Leaders and contributors
Resources and communication
Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.3 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the page “GNU Free Documentation License”.
The copyright and license notices on this page only apply to the text on this page. Any software or copyright-licenses or other similar notices described in this text has its own copyright notice and license, which can usually be found in the distribution or license text itself.