Entering edit mode
3.7 years ago
minoo
▴
10
I have a data set with 60000 genes and 10 markers, which the head of the data looks like below:
> df<-read.csv(text=
> "genes, s1, s2, s3, s4, s5, s6, s7, s8, s9, s10
> ENSG00000145416, 81.321, 5.1461, 8.7551, 3.6665, 6.821, 3.23, 1.08, 6.422, 2.92, 2.04
> ENSG00000186205, 83.863, 2.6170, 1.9383, 1.4184, 2.007, 1.40, 1.59, 4.072, 2.89, 8.61
> ENSG00000180096, 48.578, 4.9632, 1.4995, 1.6721, 1.297, 1.13, 1.67, 6.501, 1.36, 2.68
> ENSG00000173077, 120.85, 6.5401, 2.3856, 2.3546, 1.919, 1.47, 3.38, 4.417, 2.78, 1.68
> ENSG00000099785, 769.08, 5.4722, 1.0363, 1.3474, 1.635, 1.65, 7.42, 8.183, 2.47, 8.09
> ENSG00000117791, 57.956, 1.1991, 4.0939, 1.0665, 1.516, 1.39, 0.00,
> 1.67, 1.297, 1.1",sep=",")
I don't know the exact type of experiment but according to the data it seems to be a bulk RNA seq data. I know the cell type of s2 to s10 markers, and I would like to know the cell type of s1 marker. What approach do you suggest to use to figure that out? With regard that these are from bone marrow.