Most of the time, the above Scissor command runs successfully. Occasionally, it does not and I receive the following error:
[1] "|**|"
[1] "Performing quality-check for the correlations"
[1] "The five-number summary of correlations:"
0% 25% 50% 75% 100%
0.01839713 0.26478574 0.32455696 0.37402355 0.52673473
[1] "|**|"
Error in Scissor(bulk_dataset = bulk_counts, sc_dataset = seur_dataset, :
The length differs between tags and phenotypes. Please check Scissor inputs and selected regression type.
Hello, I'm testing Scissor with several continuous dependent variables.
info <- Scissor(bulk_dataset = bulk_counts, sc_dataset = seur_dataset, phenotype = phenotype, alpha = NULL, cutoff = 0.2, tag = phenotype, family = "gaussian", Save_file = 'info.RData') `
My phenotypes are named numeric vectors as follows, a (successful) example: A_07_L01_01 A_07_L01_03 A_07_L01_04 B_01_L01_04 B_01_L01_05 B_02_L01_08 B_02_L01_09 B_02_L01_10 C_06_L01_01 13.00 12.00 17.20 12.40 6.57 12.80 8.02 23.50 13.10 C_06_L01_02 C_07_L01_04 C_07_L01_06 B_01_L01_01 B_01_L01_02 B_01_L01_03 B_02_L01_06 B_02_L01_07 C_06_L01_03 13.60 8.29 6.29 14.40 16.00 19.30 8.82 11.20 15.90 A_03_L01_01 A_03_L01_02 A_03_L01_03 A_03_L01_04 A_08_L01_05 A_08_L01_06 A_08_L01_07 15.60 12.50 17.50 26.40 25.40 17.60 30.70
Most of the time, the above Scissor command runs successfully. Occasionally, it does not and I receive the following error: [1] "|**|" [1] "Performing quality-check for the correlations" [1] "The five-number summary of correlations:" 0% 25% 50% 75% 100% 0.01839713 0.26478574 0.32455696 0.37402355 0.52673473 [1] "|**|" Error in Scissor(bulk_dataset = bulk_counts, sc_dataset = seur_dataset, : The length differs between tags and phenotypes. Please check Scissor inputs and selected regression type.
For context, the below phenotype led to an error: A_07_L01_01 A_07_L01_03 A_07_L01_04 B_01_L01_04 B_01_L01_05 B_02_L01_08 B_02_L01_09 B_02_L01_10 C_06_L01_01 10.20 11.40 10.10 7.02 3.42 6.34 8.67 13.30 4.98 C_06_L01_02 C_07_L01_04 C_07_L01_06 B_01_L01_01 B_01_L01_02 B_01_L01_03 B_02_L01_06 B_02_L01_07 C_06_L01_03 6.05 4.61 5.52 8.41 15.60 13.30 6.44 8.73 7.41 A_03_L01_01 A_03_L01_02 A_03_L01_03 A_03_L01_04 A_08_L01_05 A_08_L01_06 A_08_L01_07 9.02 8.87 14.10 9.90 9.79 10.30 11.90
Thanks for your advice.