liana
liana copied to clipboard
heat_freq error
Hi,
great package!
I am running into an error with heat_freq():
heat_freq(liana_trunc)
Error: number of observations in bottom annotation should be as same as ncol of the matrix.
> liana_trunc
# A tibble: 7 × 16
source target ligand.complex receptor.complex aggregate_rank mean_rank natmi.edge_specificity natmi.rank connectome.weight_sc connectome.rank logfc.logfc_comb logfc.rank
<chr> <chr> <chr> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 14 7 F10 F3 0.000277 13.5 0.0349 7 1.60 1 2.00 2
2 14 8 F10 F3 0.000614 14.7 0.0340 8 1.58 2 1.88 5
3 14 15 F10 F3 0.00148 16.3 0.0327 9 1.55 3 1.66 10
4 14 0 F10 F3 0.00148 15.7 0.0303 10 1.50 4 1.93 4
5 14 4 F10 F3 0.00214 16.1 0.0287 11 1.47 5 1.95 3
6 14 6 F10 F3 0.00301 17.5 0.0281 12 1.46 6 1.77 7
7 17 7 F10 F3 0.00718 20.9 0.0254 15 1.20 11 1.51 15
# ℹ 4 more variables: sca.LRscore <dbl>, sca.rank <dbl>, cellphonedb.pvalue <dbl>, cellphonedb.rank <dbl>
> liana_trunc %>% liana:::.get_freq()
0 15 4 6 7 8
14 1 1 1 1 1 1
17 0 0 0 0 1 0
Not sure I understand the source code correctly, but it seems that cell_anno is used for rows and columns, and I am wondering if this is intentional....
Please let me know if you need further information to reproduce.
Hi @baj12,
Is liana_trunc
with the same data as in the tutorial? Or is it your own data?
Would help if I knew if this was a data- or versioning-related issue.
Not sure I understand the source code correctly, but it seems that cell_anno is used for rows and columns, and I am wondering if this is intentional....
re cell-anno, indeed I make it so that the row and col annotations are mirrored
sorry for not being clear enough and I hope the following will clarify it.
The data is my own and a bit too big to share here. The sources and target column don't share any items, which might be the root cause of the problem. I believe in these cases it is difficult to use the same name for row/column. Also, the number of rows/columns is not the same in my case. The test data is working correctly.