Error in seq.default(lsmin, (Re(log2(midmin)) - 0.5), stepm) : 'from' must be a finite number

[Yale73]

Hi Vivian,

I am trying to impute dropouts from a csv of UMI values ( 7 genes and 12244 cells).
The codes are listed below.
scimpute ("E:/gdT.csv", Kcluster = 2, out_dir = "E:/Cal", ncores = 1, drop_thre = 0.1),
but when I am at "calculating cell distances ...", I got error.

[1] "reading in raw count matrix ..."
[1] "number of genes in raw count matrix 7"
[1] "number of cells in raw count matrix 12244"
[1] "reading finished!"
[1] "imputation starts ..."
[1] "searching candidate neighbors ... "
[1] "inferring cell similarities ..."
[1] "dimension reduction ..."
[1] "calculating cell distances ..."
Error in seq.default(lsmin, (Re(log2(midmin)) - 0.5), stepm) :
'from' must be a finite number
I checked our code and can not find from parameter, can you help me fix it ?

Thanks!

Yale

[tele-agusto]

@Yale73

Hi, did you manage to solve this?? Having the same issue - any help would be appreciated!

[eshan-abbas]

Yeah, same problem here.