Hi am using a matrix of gene expression, frag counts to calculate differentially expressed genes. I would like to know how to remove the rows which have values as 0. Then my data set will be compact and less spurious results will be given for the downstream analysis I do using this matrix.
Input
gene ZPT.1 ZPT.0 ZPT.2 ZPT.3 PDGT.1 PDGT.0
XLOC_000001 3516 626 1277 770 4309 9030
XLOC_000002 342 82 185 72 835 1095
XLOC_000003 2000 361 867 438 454 687
XLOC_000004 143 30 67 37 90 236
XLOC_000005 0 0 0 0 0 0
XLOC_000006 0 0 0 0 0 0
XLOC_000007 0 0 0 0 1 3
XLOC_000008 0 0 0 0 0 0
XLOC_000009 0 0 0 0 0 0
XLOC_000010 7 1 5 3 0 1
XLOC_000011 63 10 19 15 92 228
Desired output
gene ZPT.1 ZPT.0 ZPT.2 ZPT.3 PDGT.1 PDGT.0
XLOC_000001 3516 626 1277 770 4309 9030
XLOC_000002 342 82 185 72 835 1095
XLOC_000003 2000 361 867 438 454 687
XLOC_000004 143 30 67 37 90 236
XLOC_000007 0 0 0 0 1 3
XLOC_000010 7 1 5 3 0 1
XLOC_000011 63 10 19 15 92 228
As of now I only want to remove those rows where all the frag count columns are 0 if in any row some values are 0 and others are non zero I would like to keep that row intact as you can see my example above.
Please let me know how to do this.
df[apply(df[,-1], 1, function(x) !all(x==0)),]