<p>Predicting novel metabolic pathways through subgraph mining</p>

Aravind Sankar; Sayan Ranu; Karthik Raman

doi:10.7490/f1000research.1114488.1

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Sankar A, Ranu S and Raman K. Predicting novel metabolic pathways through subgraph mining [version 1; not peer reviewed]. F1000Research 2017, 6(ISCB Comm J):1279 (slides) (https://doi.org/10.7490/f1000research.1114488.1)

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Predicting novel metabolic pathways through subgraph mining

Aravind Sankar, Sayan Ranu¹, Karthik Raman²

Published 29 Jul 2017 (https://doi.org/10.7490/f1000research.1114488.1)

Author Affiliations

¹ Indian Institute of Technology Delhi, India
² Indian Institute of Technology Madras, India

Copyright © 2017 Sankar A et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Published 29 Jul 2017

Predicting novel metabolic pathways through subgraph mining
[version 1; not peer reviewed]

Aravind Sankar, Sayan Ranu¹, Karthik Raman²

Author Affiliations

¹ Indian Institute of Technology Delhi, India
² Indian Institute of Technology Madras, India

Presented at

Joint 25th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB) and 16th European Conference on Computational Biology (ECCB) 2017

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Metabolic networks, subgraph mining, retrosynthesis, pathway prediction

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