dmSQTL_profileLik <- function(prec, counts, genotypes,
prec_adjust = TRUE, one_way = TRUE, group_formula = ~ group,
prop_mode = "constrOptim", prop_tol = 1e-12,
coef_mode = "optim", coef_tol = 1e-12,
verbose = FALSE, BPPARAM = BiocParallel::SerialParam()){
fit <- dmSQTL_fit(counts = counts, genotypes = genotypes, precision = prec,
one_way = one_way, group_formula = group_formula,
prop_mode = prop_mode, prop_tol = prop_tol,
coef_mode = coef_mode, coef_tol = coef_tol,
return_fit = TRUE, return_coef = FALSE,
verbose = verbose, BPPARAM = BPPARAM)
if(!prec_adjust)
return(unlist(fit$lik))
adj <- dmSQTL_CRadjustment(counts = counts, fit = fit$fit,
genotypes = genotypes, group_formula = group_formula,
precision = prec, one_way = one_way,
verbose = verbose, BPPARAM = BPPARAM)
adj_lik <- unlist(fit$lik) - unlist(adj)
# adj_lik is a vector containing all the genes and snps
return(adj_lik)
}
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