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  1. Article

    Open Access

    Latent dirichlet allocation for double clustering (LDA-DC): discovering patients phenotypes and cell populations within a single Bayesian framework

    Current clinical routines rely more and more on “omics” data such as flow cytometry data from host and microbiota. Cohorts variability in addition to patients’ heterogeneity and huge dimensions make it difficu...

    Elie-Julien El Hachem, Nataliya Sokolovska, Hedi Soula in BMC Bioinformatics (2023)

  2. Article

    Open Access

    Robust structure measures of metabolic networks that predict prokaryotic optimal growth temperature

    Metabolic networks reflect the relationships between metabolites (biomolecules) and the enzymes (proteins), and are of particular interest since they describe all chemical reactions of an organism. The metabol...

    Adèle Weber Zendrera, Nataliya Sokolovska, Hédi A. Soula in BMC Bioinformatics (2019)

  3. Article

    Open Access

    Spectral consensus strategy for accurate reconstruction of large biological networks

    The last decades witnessed an explosion of large-scale biological datasets whose analyses require the continuous development of innovative algorithms. Many of these high-dimensional datasets are related to lar...

    Séverine Affeldt, Nataliya Sokolovska, Edi Prifti, Jean-Daniel Zucker in BMC Bioinformatics (2016)