Chris Stubben


I think the widths should range from the min_edge or 0.2 to 1, but it's very difficult to tell which pairs of terms in the plot have 100% similarity compared...

This [answer](https://stackoverflow.com/questions/56173310/how-to-adjust-the-width-of-edges-by-weight-in-ggraph-network-in-r) on StackOverflow might help and maybe all that's needed is the option to adjust the scale_edge_width? ``` library(ggraph) library(igraph) data=data.frame(w1=c(rep('apple', 4), 'pear', 'pear', 'peach'), w2 = c('orange', 'pear','peach',...

This looks much better but the legend does not make sense (4 to 6?). `emapplot(edo, cex_line=3) + scale_edge_width(range = c(1,10))`

Any updates on this issue? I'd also like to get batch corrected expression values but don't see anything in the devel branch.

Great, thanks. At least with an empty table you can still add the hit_count attribute, but NULL works too.

That will work for a few articles, but I'd like MeSH terms for 100s of articles and downloading one at a time will take too long. I'd like the option...

I had to use ggtangle and geom_cnet_label to pass the font size to geom_text_repel following issue [302](https://github.com/YuLab-SMU/enrichplot/issues/302) emapplot(x, showCategory = 40, min_edge=0.5, node_label="none") + geom_cnet_label(node_label = "all", size = 3)

I'm not sure if the different column names are related. My issue is that some patients like [TCGA-OR-A5J1](https://portal.gdc.cancer.gov/cases/b3164f7b-c826-4e08-9ee6-8ff96d29b913) have multiple diagnoses and tumors. If you download the clinical data from...