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For: Affeldt S, Sokolovska N, Prifti E, Zucker JD. Spectral consensus strategy for accurate reconstruction of large biological networks. BMC Bioinformatics 2016;17:493. [PMID: 28105915 DOI: 10.1186/s12859-016-1308-y] [Cited by in Crossref: 7] [Cited by in F6Publishing: 4] [Article Influence: 1.2] [Reference Citation Analysis]
Number Citing Articles
1 van Dijk AD, Lähdesmäki H, de Ridder D, Rousu J. Selected proceedings of Machine Learning in Systems Biology: MLSB 2016. BMC Bioinformatics 2016;17:437. [PMID: 28105910 DOI: 10.1186/s12859-016-1305-1] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 0.3] [Reference Citation Analysis]
2 Dao MC, Sokolovska N, Brazeilles R, Affeldt S, Pelloux V, Prifti E, Chilloux J, Verger EO, Kayser BD, Aron-Wisnewsky J, Ichou F, Pujos-Guillot E, Hoyles L, Juste C, Doré J, Dumas ME, Rizkalla SW, Holmes BA, Zucker JD, Clément K; MICRO-Obes Consortium. A Data Integration Multi-Omics Approach to Study Calorie Restriction-Induced Changes in Insulin Sensitivity. Front Physiol 2018;9:1958. [PMID: 30804813 DOI: 10.3389/fphys.2018.01958] [Cited by in Crossref: 22] [Cited by in F6Publishing: 20] [Article Influence: 7.3] [Reference Citation Analysis]
3 Prifti E, Chevaleyre Y, Hanczar B, Belda E, Danchin A, Clément K, Zucker JD. Interpretable and accurate prediction models for metagenomics data. Gigascience 2020;9:giaa010. [PMID: 32150601 DOI: 10.1093/gigascience/giaa010] [Cited by in Crossref: 14] [Cited by in F6Publishing: 10] [Article Influence: 14.0] [Reference Citation Analysis]
4 Van Hul M, Le Roy T, Prifti E, Dao MC, Paquot A, Zucker JD, Delzenne NM, Muccioli G, Clément K, Cani PD. From correlation to causality: the case of Subdoligranulum. Gut Microbes 2020;12:1-13. [PMID: 33323004 DOI: 10.1080/19490976.2020.1849998] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 2.5] [Reference Citation Analysis]