WebIn milorGWAS: Mixed Logistic Regression for Genome-Wide Analysis Studies (GWAS) Defines functions SNP.category Documented in SNP.category WebmilorGWAS / R/trans.X.r. R/trans.X.r In milorGWAS: Mixed Logistic Regression for Genome-Wide Analysis Studies (GWAS) Defines functions trans.X # Check AND replaces by QR ...
SNP.category: SNP.category in milorGWAS: Mixed Logistic …
WebManipulation of genetic data (SNPs). Computation of GRM and dominance matrix, LD, heritability with efficient algorithms for linear mixed model (AIREML). Dandine et al < … Web26 mrt. 2024 · We are going to illustrate below the functions exported by milorGWAS: association.test.logistic, qqplot.pvalues (which replaces and extends the function … dämpa ljud i rum
GitHub - genostats/LowKi
This package is for Genome Wide Association Studies using a logisticmixed model, using fast approximate methods as described in (Milet andPerdry, 2024). One of these methods extends the GMMAT method by Chen etal. (Chen et al., 2016). A similar method was described in (Zhou et al.,2024). Additionnally, … Meer weergeven Here we will use a simulated structured population with a large numberof SNPs to illustrate the stratified qq-plots. These data simulated asdescribed in (Chen et al., 2016) or in (Milet and Perdry, 2024) with theprogram … Meer weergeven WebR/RcppExports.R defines the following functions: GWAS_approx_pql_bed GWAS_logit_offset_bed min_ max_ manhattan_thinning WebDetails. This function draws a QQ plot of p-values, stratified by categories.If the parameter snp.cat is missing, the function falls back on gaston::qqplot.pvalues.. See Also. … dampfdom lokomotive