I am using FindMarkers() between 2 groups of cells, my results are listed but i'm having hard time in choosing the right markers. Do I choose according to both the p-values or just one of them? If one of them is good enough, which one should I prefer? I am interested in the marker-genes that are differentiating the groups, so what are the parameters i should look for?
p_val avg_logFC pct.1 pct.2 p_val_adj UBD 3.080608e-06 1.7755753 1 0.000 0.07683959 CFB 1.262305e-05 1.3989233 1 0.067 0.31485675 RGS13 1.548593e-05 0.9009480 1 0.200 0.38626551 PYDC1 1.896309e-05 0.9622537 1 0.133 0.47299636 BIRC3 4.099414e-05 1.0129472 1 1.000 1.00000000 ICAM1 4.379895e-05 0.8219610 1 0.200 1.00000000
as you can see, p-value seems significant, however the adjusted p-value is not. and when i performed the test i got this warning
In wilcox.test.default(x = c(BC03LN_05 = 0.249819542916203, ... : cannot compute exact p-value with ties
I am completely new to this field, and more importantly to mathematics. Please help me understand in an easy way.