EventsMOL2NET'21, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 7th ed.
Event submissions
Published
with-doi10.3390/mol2net-07-11195
This submission belongs to the session 06. BIOMODE.ECO-06: Biotech., Mol. Eng., Nat. Prod. Develop. and Ecology Congress, Paris, France-Ohio, USA, 2021. of the event MOL2NET'21, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 7th ed.
Published date
18 Oct, 2021
Academic Editor
author-avatarHumbert G. Díaz
Citation
Karel Diéguez-Santana, Gerardo M. Casañola-Martin, James R. Green, Bakhtiyor Rasulev, Humbert González-Díaz, Combinatorial Perturbation-Theory Machine Learning (CPTML) Models for Curation of Metabolic Reaction Networks, in Proceedings of MOL2NET'21, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 7th ed., 25 January–30 December 2021, MDPI: Basel, Switzerland, doi: 10.3390/mol2net-07-11195
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Combinatorial Perturbation-Theory Machine Learning (CPTML) Models for Curation of Metabolic Reaction Networks

Karel Diéguez-Santana 1
Gerardo M. Casañola-Martin 2,3
James R. Green 4
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Bakhtiyor Rasulev 5
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Humbert González-Díaz 6,7
1. Universidad Regional Amazónica Ikiam, Parroquia Muyuna km 7 vía Alto Tena, 150150, Tena-Napo, Ecuador
2. Department of Systems and Computer Engineering, Carleton University, Ottawa, ON, Canada
3. Department of Coatings and Polymeric Materials, North Dakota State University, Fargo, ND, 58102, USA.
4. Department of Systems and Computer Engineering, Carleton University, K1S 5B6, Ottawa, ON, Canada
5. Department of Coatings and Polymeric Materials, North Dakota State University, Fargo, ND, 58102, USA
6. IKERBASQUE, Basque Foundation for Science, 48011, Bilbao, Biscay, Spain.
7. Department of Organic Chemistry II, University of the Basque Country UPV/EHU, 48940, Leioa, Spain
Abstract
Keywords
Barabasis' group
Machine learning
Markov linear indices
Metabolic Networks
Perturbation-Theory