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Clément Frainay
20
Documents
Identifiants chercheurs
- cfrainay
- ResearcherId : B-8636-2019
- IdRef : 233332944
- 0000-0003-4313-2786
- VIAF : 6210154983552167860003
- Google Scholar : https://scholar.google.com/citations?user=2ONnD1cAAAAJ&hl=fr
- ResearcherId : http://www.researcherid.com/rid/B-8636-2019
Présentation
I'm a French computational biologist working on system biology and biological networks. I'm primarily interested in the study of metabolism, and I'm currently working at the [INRAE's Toxalim lab](https://www6.toulouse.inrae.fr/toxalim_eng/) on the impact of food contaminant exposure on this system. My research interests focus on solutions to overcome the information overload faced when reasoning on such large scale, leveraging network science, information filtering, information visualisation and knowledge modelling.
See my page on Scholia: <https://scholia.toolforge.org/author/Q57243195>
Publications
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Plant genome-scale metabolic networksScience Direct. Plant Metabolomics in full swing, 98, 2021, Advances in Botanical Research, ⟨10.1016/bs.abr.2020.09.021⟩
Chapitre d'ouvrage
hal-03149497v1
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Genome-scale metabolic networksMetabolomics: Practical Guide to Design and Analysis, 1ère édition, Chapman and Hall, 290 p., 2019, 9781315370583. ⟨10.1201/9781315370583-8⟩
Chapitre d'ouvrage
hal-02786295v1
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New genome scale network modeling and mining workflow for detecting metabolic changes induced by exposure to chemicals2023
Pré-publication, Document de travail
hal-04188513v1
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Suggesting disease associations for overlooked metabolites using literature from metabolic neighbours2023
Pré-publication, Document de travail
hal-04188519v1
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FORUM: Building a Knowledge Graph from public databases and scientific literature to extract associations between chemicals and diseases2021
Pré-publication, Document de travail
hal-03318295v1
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Pathway analysis in metabolomics: pitfalls and best practice for the use of over-representation analysis2021
Pré-publication, Document de travail
hal-03240376v1
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