BRANE Cut: biologically-related a priori network enhancement with graph cuts for gene regulatory network inference.
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Enhancing gene regulatory network inference through data integration with markov random fieldsAn end-to-end software solution for the analysis of high-throughput single-cell migration data.Systems Bioinformatics: increasing precision of computational diagnostics and therapeutics through network-based approaches.
P2860
BRANE Cut: biologically-related a priori network enhancement with graph cuts for gene regulatory network inference.
description
2015 nî lūn-bûn
@nan
2015 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2015 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
name
BRANE Cut: biologically-relate ...... e regulatory network inference
@nl
BRANE Cut: biologically-relate ...... regulatory network inference.
@ast
BRANE Cut: biologically-relate ...... regulatory network inference.
@en
type
label
BRANE Cut: biologically-relate ...... e regulatory network inference
@nl
BRANE Cut: biologically-relate ...... regulatory network inference.
@ast
BRANE Cut: biologically-relate ...... regulatory network inference.
@en
prefLabel
BRANE Cut: biologically-relate ...... e regulatory network inference
@nl
BRANE Cut: biologically-relate ...... regulatory network inference.
@ast
BRANE Cut: biologically-relate ...... regulatory network inference.
@en
P2093
P2860
P1433
P1476
BRANE Cut: biologically-relate ...... e regulatory network inference
@en
P2093
Aurélie Pirayre
Camille Couprie
Frédérique Bidard
Jean-Christophe Pesquet
P2860
P2888
P356
10.1186/S12859-015-0754-2
P407
P577
2015-11-04T00:00:00Z
P5875
P6179
1021703366