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I have generated a list of Proteins using oncogeenes and suppressor genes of cancer. I have 5827 mapping identifier for 3916 interactions using STRINGdb R package . How do I build a network of 200k protein?

Identifiers.csv 

"","mapping_identifier"
"1","9606.ENSP00000003084"
"2","9606.ENSP00000003100"
"3","9606.ENSP00000004921"
"4","9606.ENSP00000004982"
"5","9606.ENSP00000005178"

and these are the interactions

"","from","to","neighborhood","neighborhood_transferred","fusion","cooccurence","homology","coexpression","coexpression_transferred","experiments","experiments_transferred","database","database_transferred","textmining","textmining_transferred","combined_score"
"1","9606.ENSP00000163416","9606.ENSP00000240851",0,0,0,0,0,0,0,0,0,0,0,481,0,481
"2","9606.ENSP00000163416","9606.ENSP00000263967",0,0,0,0,0,0,0,0,0,0,0,195,0,195
"3","9606.ENSP00000163416","9606.ENSP00000270202",0,0,0,0,0,0,0,0,0,0,0,163,0,163
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  • $\begingroup$ Have you tried biostars.org? I think they are far more suited to computational questions. $\endgroup$
    – CKM
    May 26, 2017 at 18:13
  • $\begingroup$ Or you could try bioinformatics.stackexchange.com $\endgroup$
    – emilliman5
    May 26, 2017 at 20:37
  • $\begingroup$ What form is your data in, it would be helpful if you could post the first 10 lines of data. $\endgroup$
    – emilliman5
    May 26, 2017 at 20:38
  • $\begingroup$ @emilliman5 I edited the question and I'll try bioinformatics.stackexchange $\endgroup$
    – A M
    May 26, 2017 at 21:25

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