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STON: exploring biological pathways using the SBGN standard and graph databasesThe role of markup for enabling interoperability in health informatics.In silico modeling for tumor growth visualizationGeNNet: an integrated platform for unifying scientific workflows and graph databases for transcriptome data analysis.
P2860
description
2014 nî lūn-bûn
@nan
2014 թուականին հրատարակուած գիտական յօդուած
@hyw
2014 թվականին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
Semantically linking in silico cancer models
@ast
Semantically linking in silico cancer models
@en
Semantically linking in silico cancer models
@nl
type
label
Semantically linking in silico cancer models
@ast
Semantically linking in silico cancer models
@en
Semantically linking in silico cancer models
@nl
prefLabel
Semantically linking in silico cancer models
@ast
Semantically linking in silico cancer models
@en
Semantically linking in silico cancer models
@nl
P2093
P2860
P3181
P356
P1433
P1476
Semantically linking in silico cancer models
@en
P2093
Anthony J Connor
Eliezer Shochat
Steve McKeever
Thomas S Deisboeck
Tom Quaiser
Zhihui Wang
P2860
P304
P3181
P356
10.4137/CIN.S13895
P407
P433
P577
2014-12-08T00:00:00Z