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.