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of Multiplex methods provide effective integration of multi-omic data in genome-scale models
Claudio Angione
(Creator)
Max Conway
(Creator)
Pietro Lió
(Contributor)
Teesside University
Dataset
Overview
TeesRep
(1)
Research output
Research output per year
2016
2016
2016
1
Article
Research output per year
Research output per year
1 results
Publication Year, Title
(descending)
Publication Year, Title
(ascending)
Title
Type
Search results
2016
Multiplex methods provide effective integration of multi-omic data in genome-scale models
Angione, C.
, Conway, M. & Lió, P.,
2 Mar 2016
,
In:
BMC Bioinformatics.
p. -
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
Multi-Omics
100%
Multi-omics Network
50%
Gene/protein
50%
Transcriptomic Variation
50%
Multi-omics Fusion
50%
196
Downloads (Pure)