| Hypoxia induces VEGF-C expression in metastatic tumor cells via a HIF-1α-independent translation-mediated mechanism F Morfoisse, A Kuchnio, C Frainay, A Gomez-Brouchet, MB Delisle, ... Cell reports 6 (1), 155-167, 2014 | 144 | 2014 |
| MetExplore: collaborative edition and exploration of metabolic networks L Cottret, C Frainay, M Chazalviel, F Cabanettes, Y Gloaguen, ... Nucleic Acids Research, gky301, 2018 | 115 | 2018 |
| Machine learning to identify pairwise interactions between specific IgE antibodies and their association with asthma: A cross-sectional analysis within a population-based birth … S Fontanella, C Frainay, CS Murray, A Simpson, A Custovic PLoS medicine 15 (11), e1002691, 2018 | 75 | 2018 |
| Pathway analysis in metabolomics: Recommendations for the use of over-representation analysis C Wieder, C Frainay, N Poupin, P Rodríguez-Mier, F Vinson, J Cooke, ... PLoS computational biology 17 (9), e1009105, 2021 | 73 | 2021 |
| Computational methods to identify metabolic sub-networks based on metabolomic profiles C Frainay, F Jourdan Briefings in bioinformatics 18 (1), 43-56, 2017 | 72 | 2017 |
| Mind the gap: mapping mass spectral databases in genome-scale metabolic networks reveals poorly covered areas C Frainay, EL Schymanski, S Neumann, B Merlet, RM Salek, F Jourdan, ... Metabolites 8 (3), 51, 2018 | 65 | 2018 |
| Integrated transcriptomics and metabolomics reveal signatures of lipid metabolism dysregulation in HepaRG liver cells exposed to PCB 126 R Mesnage, M Biserni, S Balu, C Frainay, N Poupin, F Jourdan, ... Archives of Toxicology 92, 2533-2547, 2018 | 55 | 2018 |
| MetExploreViz: web component for interactive metabolic network visualization M Chazalviel, C Frainay, N Poupin, F Vinson, B Merlet, Y Gloaguen, ... Bioinformatics 34 (2), 312-313, 2018 | 51 | 2018 |
| Classification of pediatric asthma: from phenotype discovery to clinical practice C Oksel, S Haider, S Fontanella, C Frainay, A Custovic Frontiers in Pediatrics 6, 258, 2018 | 48 | 2018 |
| Networks and graphs discovery in metabolomics data analysis and interpretation A Amara, C Frainay, F Jourdan, T Naake, S Neumann, ... Frontiers in Molecular Biosciences 9, 841373, 2022 | 46 | 2022 |
| MetaboRank: network-based recommendation system to interpret and enrich metabolomics results C Frainay, S Aros, M Chazalviel, T Garcia, F Vinson, N Weiss, B Colsch, ... Bioinformatics 35 (2), 274-283, 2019 | 30 | 2019 |
| FORUM: building a Knowledge Graph from public databases and scientific literature to extract associations between chemicals and diseases M Delmas, O Filangi, N Paulhe, F Vinson, C Duperier, W Garrier, ... Bioinformatics 37 (21), 3896-3904, 2021 | 12 | 2021 |
| A computational solution to automatically map metabolite libraries in the context of genome scale metabolic networks B Merlet, N Paulhe, F Vinson, C Frainay, M Chazalviel, N Poupin, ... Frontiers in Molecular Biosciences 3, 2, 2016 | 12 | 2016 |
| Targeted versus untargeted omics—the CAFSA story M del Mar Amador, B Colsch, F Lamari, C Jardel, F Ichou, A Rastetter, ... Journal of Inherited Metabolic Disease 41, 447-456, 2018 | 11 | 2018 |
| Large-Scale Modeling Approach Reveals Functional Metabolic Shifts during Hepatic Differentiation N Poupin, A Corlu, NJ Cabaton, H Dubois-Pot-Schneider, C Canlet, ... Journal of proteome research 18 (1), 204-216, 2018 | 10 | 2018 |
| Atopic dermatitis or eczema? Consequences of ambiguity in disease name for biomedical literature mining C Frainay, Y Pitarch, S Filippi, M Evangelou, A Custovic Clinical & Experimental Allergy 51 (9), 1185-1194, 2021 | 6 | 2021 |
| Mind the gap: mapping mass spectral databases in genomescale metabolic networks reveals poorly covered areas. Metabolites. 2018; 8: 51 C Frainay, E Schymanski, S Neumann, B Merlet, R Salek, F Jourdan, ... | 6 | 2018 |
| Avoiding the misuse of pathway analysis tools in environmental metabolomics C Wieder, JG Bundy, C Frainay, N Poupin, P Rodríguez-Mier, F Vinson, ... Environmental Science & Technology 56 (20), 14219-14222, 2022 | 4 | 2022 |
| Plant genome-scale metabolic networks L Gerlin, C Frainay, F Jourdan, C Baroukh, S Prigent Advances in Botanical Research 98, 237-270, 2021 | 4 | 2021 |
| Pathway analysis in metabolomics: pitfalls and best practice for the use of over-representation analysis C Wieder, C Frainay, N Poupin, P Rodríguez-Mier, F Vinson, J Cooke, ... bioRxiv, 2021.05. 24.445406, 2021 | 3 | 2021 |
Fabien JourdanINRAEAdresse e-mail validée de inrae.fr
