Additional file 2 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

Description

Flux rates of Colombos conditions. Full list of Colombos conditions and the corresponding flux rates predicted using trilevel linear programming. (XLSX 364 kb)

Date made available	2019
Publisher	figshare

DOI
10.6084/m9.figshare.10035338

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Creative Commons Attribution 4.0 International

1 Article

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
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Additional file 2 of Multiplex methods provide effective integration of multi-omic data in genome-scale models

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DOI

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Research output

Multiplex methods provide effective integration of multi-omic data in genome-scale models

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