## ----Load necessary packages-------------------------------------------------- library(rplec) ## ----Load our example data---------------------------------------------------- beta_values_case <- download_beta_values_case() beta_values_control <- download_beta_values_control() data(ga) data(phenotype) ## ----Normalize DNA methylation values per sample------------------------------ norm_beta_values_case <- bmiq_norm_450k(beta_values_case) norm_beta_values_control <- bmiq_norm_450k(beta_values_control) ## ----Estimate DNA-methylation-based gestational age--------------------------- dnam_ga_case <- plec(norm_beta_values_case) dnam_ga_control <- plec(norm_beta_values_control) dnam_ga <- rbind(dnam_ga_case, dnam_ga_control) ## ----Perform quality control-------------------------------------------------- set.seed(1) plec_qc <- qc(dnam_ga, ga, phenotype) ## ----figure-1, echo=FALSE, fig.height=5, fig.width=6-------------------------- plec_qc ## ----Estimate placental aging for either case or control---------------------- aging_case <- plec(norm_beta_values_case, type = "residual") aging_control <- plec(norm_beta_values_control, type = "residual") aging <- rbind(aging_case, aging_control) ## ----Compare case and control to identify placental aging--------------------- set.seed(1) ipla_results <- ipla(aging, ga, phenotype) ## ----figure-2, echo=FALSE, fig.height=5, fig.width=7-------------------------- ipla_results ## ----Conduct statistical test------------------------------------------------- set.seed(1) ipla_stats <- ipla(aging, ga, phenotype, method = "Mann-Whitney U") ## ----figure-3, echo=FALSE, fig.height=5, fig.width=7-------------------------- ipla_stats ## ----Conduct statistical test for a specific range of GA---------------------- set.seed(1) ipla_stats_5_20 <- ipla(aging, ga, phenotype, method = "Mann-Whitney U", from = 5, to = 20) ## ----figure-4, echo=FALSE, fig.height=5, fig.width=7-------------------------- ipla_stats_5_20 ## ----session-info, echo=TRUE-------------------------------------------------- sessionInfo()