JacLy: a Jacobian-based method for the inference of metabolic interactions from the covariance of steady-state metabolome data

Reverse engineering metabolome data to infer metabolic interactions is a challenging research topic. Here we introduce JacLy, a Jacobian-based method to infer metabolic interactions of small networks (<20 metabolites) from the covariance of steady-state metabolome data. The approach was applied t...

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Bibliographic Details
Main Authors: Mohammad Jafar Khatibipour, Furkan Kurtoğlu, Tunahan Çakır
Format: Article
Language:English
Published: PeerJ Inc. 2018-12-01
Series:PeerJ
Subjects:
Online Access:https://peerj.com/articles/6034.pdf