Statements (29)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:software
|
| gptkbp:citation |
Zhou W, et al. Nature Genetics 2018
|
| gptkbp:developedBy |
gptkb:Wei_Zhou
Genetic Epidemiology group at Harvard T.H. Chan School of Public Health |
| gptkbp:firstReleased |
2018
|
| gptkbp:format |
gptkb:text
gptkb:PLINK VCF R data frame |
| gptkbp:fullName |
Scalable and Accurate Implementation of Generalized mixed model
|
| https://www.w3.org/2000/01/rdf-schema#label |
SAIGE
|
| gptkbp:license |
GPL-3.0
|
| gptkbp:notableFeature |
scalable to large datasets
controls for sample relatedness handles unbalanced case-control ratios |
| gptkbp:programmingLanguage |
gptkb:C++
R |
| gptkbp:relatedTo |
BOLT-LMM
GEMMA REGENIE |
| gptkbp:repository |
https://github.com/weizhouUMICH/SAIGE
|
| gptkbp:supports |
quantitative traits
binary traits |
| gptkbp:usedFor |
gptkb:GWAS
statistical genetics genome-wide association studies |
| gptkbp:website |
https://saigegit.github.io/SAIGE-doc/
|
| gptkbp:bfsParent |
gptkb:Society_for_Sexual,_Affectional,_Intersex,_and_Gender_Expansive_Identities
|
| gptkbp:bfsLayer |
7
|