Closed JoyOtten closed 2 years ago
I already have it, sorry for the comment.
My solution is as follows: Whereas c selects the samples
pdf("/PHShome/je637/deconvolution_plot.pdf") for(c in sample_name){ x <- grep(c, rownames(deconProp)) test <- deconProp[x,] x <- grep(c, rownames(pos)) test_1 <- pos[x,]
plt <- vizAllTopics(theta = test, pos = test_1, r = 45, lwd = 0, showLegend = TRUE, plotTitle = NA) + ggplot2::guides(fill=ggplot2::guide_legend(ncol=2)) +
ggplot2::geom_rect(data = data.frame(pos),
ggplot2::aes(xmin = min(x)-90, xmax = max(x)+90,
ymin = min(y)-90, ymax = max(y)+90),
fill = NA, color = "black", linetype = "solid", size = 0.5) +
ggplot2::theme(
plot.background = ggplot2::element_blank()
) +
ggplot2::guides(colour = "none")
plot(plt) } dev.off()
Dear Team,
Thank you for your amazing package!
I wanted to ask you if it's possible to run STdeconvolve on multiple sections at the same time (I have done this by following the instructions from breast cancer sections. I have in total 16 similar sections obtained from 10x Visium that I put through. However, I'm trying to plot the topics on the ST data by the following code:
plt <- vizAllTopics(theta = deconProp, pos = pos, r = 45, lwd = 0, showLegend = TRUE, plotTitle = NA) + ggplot2::guides(fill=ggplot2::guide_legend(ncol=2)) +
outer border
ggplot2::geom_rect(data = data.frame(pos), ggplot2::aes(xmin = min(x)-90, xmax = max(x)+90, ymin = min(y)-90, ymax = max(y)+90), fill = NA, color = "black", linetype = "solid", size = 0.5) +
ggplot2::theme( plot.background = ggplot2::element_blank() ) +
remove the pixel "groups", which is the color aesthetic for the pixel borders
ggplot2::guides(colour = "none")
However, this results into 1 plot for all 16 samples. Is there a possibility to plot all 16 samples separately?
With kind regards, Joy Otten