## ----knitr_options, include=FALSE--------------------------------------------- knitr::opts_chunk$set(fig.width=7, fig.height=4.5) old_digits <- options("digits")$digits options(digits=3) ## ----load_package------------------------------------------------------------- library(lineup2) gastroc <- lineup2ex$gastroc islet <- lineup2ex$islet ## ----align_rows--------------------------------------------------------------- aligned <- align_matrix_rows(gastroc, islet) ## ----align_cols--------------------------------------------------------------- aligned <- align_matrix_cols(aligned[[1]], aligned[[2]]) ## ----calc_paired_corr--------------------------------------------------------- paired_corr <- corr_betw_matrices(aligned[[1]], aligned[[2]]) ## ----to_reset_par, include=FALSE---------------------------------------------- old_mar <- par("mar") old_mfrow <- par("mfrow") old_las <- par("las") ## ----plot_paired_corr--------------------------------------------------------- par(mar=c(4.1, 5.1, 1.1, 1.1), las=1) plot(sort(paired_corr), ylab="Correlations between column pairs, sorted", pch=16) abline(h=0, lty=2, col="gray60") ## ----select_top_genes--------------------------------------------------------- selected_genes <- which(paired_corr > 0.75) ## ----sample_correlations------------------------------------------------------ corr_betw_samples <- corr_betw_matrices(t(gastroc[,selected_genes]), t(islet[,selected_genes]), what="all") ## ----hist_self_nonself, fig.height=6, dev="png"------------------------------- hist_self_nonself(corr_betw_samples, xlabel="correlation") ## ----self_values-------------------------------------------------------------- self <- get_self(corr_betw_samples) ## ----missing_self------------------------------------------------------------- self[is.na(self)] ## ----self_sorted-------------------------------------------------------------- sort(self)[1:8] ## ----best_by_row_and_col------------------------------------------------------ best_byrow <- get_best(corr_betw_samples, get_min=FALSE, dimension="row") best_bycol <- get_best(corr_betw_samples, get_min=FALSE, dimension="column") ## ----plot_self_v_best--------------------------------------------------------- par(mfrow=c(1,2), mar=c(4.1, 4.1, 1.6, 0.6), las=1) plot(self, best_byrow, xlab="Self-self correlation", ylab="Best islet correlation", main="Gastroc samples", pch=16, xlim=c(-0.3, 1.0), ylim=c(0.6, 1.0)) label <- best_byrow-self > 0.2 text(self[label]+0.03, best_byrow[label], names(self)[label], adj=c(0,0.5), cex=0.8) plot(self, best_bycol, xlab="Self-self correlation", ylab="Best gastroc correlation", main="Islet samples", pch=16, xlim=c(-0.3, 1.0), ylim=c(0.6, 1.0)) label <- best_bycol-self > 0.3 text(self[label]+0.03, best_bycol[label], names(self)[label], adj=c(0,0.5), cex=0.8) label <- best_bycol-self > 0.2 & best_bycol-self < 0.3 text(self[label]-0.03, best_bycol[label], names(self)[label], adj=c(1,0.5), cex=0.8) ## ----problems_byrow----------------------------------------------------------- get_problems(corr_betw_samples, threshold=0.2, get_min=FALSE) ## ----problems_bycol----------------------------------------------------------- get_problems(corr_betw_samples, threshold=0.2, get_min=FALSE, dimension="column") ## ----which_best_islet3296----------------------------------------------------- which_best(corr_betw_samples, get_min=FALSE, dimension="column")["Mouse3296"] ## ----plot_six_samples, fig.height=6.5----------------------------------------- samples <- sort(c(names(self)[best_bycol-self > 0.2], "Mouse3295")) par(mfrow=c(3,2), las=1, mar=c(4.1, 4.1, 2.1, 0.6)) for(sample in samples) { plot_sample(corr_betw_samples, sample, "column", get_min=FALSE) } ## ----second_best_by_row_and_col----------------------------------------------- secbest_byrow <- get_2ndbest(corr_betw_samples, get_min=FALSE, dimension="row") secbest_bycol <- get_2ndbest(corr_betw_samples, get_min=FALSE, dimension="column") ## ----sec_best_vs_best--------------------------------------------------------- red <- "#ff4136" par(mfrow=c(1,2), mar=c(4.1, 4.1, 1.6, 0.6), las=1) plot(best_byrow, secbest_byrow, xlab="Best islet correlation", ylab="Second best islet correlation", main="Gastroc samples", pch=16, xlim=c(0.5, 1), ylim=c(0.5, 1)) label <- best_byrow-self > 0.2 points(best_byrow[label], secbest_byrow[label], pch=16, col=red) abline(0,1, lty=2) plot(best_bycol, secbest_bycol, xlab="Best gastroc correlation", ylab="Second best gastroc correlation", main="Islet samples", pch=16, xlim=c(0.5, 1), ylim=c(0.5, 1)) label <- best_bycol-self > 0.2 points(best_bycol[label], secbest_bycol[label], pch=16, col=red) abline(0,1, lty=2) ## ----reset_par_and_options, include=FALSE------------------------------------- par(mar=old_mar, mfrow=old_mfrow, las=old_las) options(digits=old_digits)