Hi GeorgescuC,
thank you for this useful tool!
I am working with R version 4.3.2 and infercnv 1.18.1 but I can't be able to obtain prediction with HMM model.
I obtained this error:
STEP 17: HMM-based CNV prediction
INFO [2024-01-22 09:55:23] i3HMM_predict_CNV_via_HMM_on_tumor_subclusters(i3_p_val=0.05, use_KS=FALSE)
INFO [2024-01-22 09:55:23] determine mean delta (sigma: NA, p=0.05) -> NA
mean_delta: NA, at sigma: NA, and pval: 0.05
WARN [2024-01-22 09:55:23] get_HoneyBADGER_setGexpDev:: k_cells must be at least 2, setting to 2
Error in seq.default(0, gexp.sd, gexp.sd/10) :
'to' must be a finite number
Is it possible to apply i3HMM model without reference cells in infercnv 1.18.1? However, I found i6HMM model can apply without reference cell.
Hi GeorgescuC, thank you for this useful tool! I am working with R version 4.3.2 and infercnv 1.18.1 but I can't be able to obtain prediction with HMM model. I obtained this error:
STEP 17: HMM-based CNV prediction
INFO [2024-01-22 09:55:23] i3HMM_predict_CNV_via_HMM_on_tumor_subclusters(i3_p_val=0.05, use_KS=FALSE) INFO [2024-01-22 09:55:23] determine mean delta (sigma: NA, p=0.05) -> NA mean_delta: NA, at sigma: NA, and pval: 0.05 WARN [2024-01-22 09:55:23] get_HoneyBADGER_setGexpDev:: k_cells must be at least 2, setting to 2 Error in seq.default(0, gexp.sd, gexp.sd/10) : 'to' must be a finite number
Is it possible to apply i3HMM model without reference cells in infercnv 1.18.1? However, I found i6HMM model can apply without reference cell.
Thank you so much.