I have file which looks like:
*tab separated*
In essence it means:
Value of A against A, value of A against B,
Value of B against A, and so on..
Where value for A against B is same as B against A, and further for other columns and row applies the same.
I have a file with 350X350 or 490X490 matrix numbers, which follow the exact same pattern as above.
How do I approach such set if I got to have say top 4 or top 10 values with their row and column number.
Should I proceed with Python [ I work in python] or any statistical tool? R or MATLAB?
I know this doesn't relate to Bioinformatics, or NGS, but approach sometimes means a lot.
*tab separated*
0 0.11692212 0.12066375 0.1096388
0.11692212 0 0.09939274 0.0684602
0.12066375 0.09939274 0 0.13651687
0.1096388 0.0684602 0.13651687 0
0.11692212 0 0.09939274 0.0684602
0.12066375 0.09939274 0 0.13651687
0.1096388 0.0684602 0.13651687 0
A B C D
A 0 0.11692212 0.12066375 0.1096388
B 0.11692212 0 0.09939274 0.0684602
C 0.12066375 0.09939274 0 0.13651687
D 0.1096388 0.0684602 0.13651687 0
A 0 0.11692212 0.12066375 0.1096388
B 0.11692212 0 0.09939274 0.0684602
C 0.12066375 0.09939274 0 0.13651687
D 0.1096388 0.0684602 0.13651687 0
Value of B against A, and so on..
Where value for A against B is same as B against A, and further for other columns and row applies the same.
I have a file with 350X350 or 490X490 matrix numbers, which follow the exact same pattern as above.
How do I approach such set if I got to have say top 4 or top 10 values with their row and column number.
Should I proceed with Python [ I work in python] or any statistical tool? R or MATLAB?
I know this doesn't relate to Bioinformatics, or NGS, but approach sometimes means a lot.
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