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Yvan Saeys

Researcher Next ID · RN-021519

Researcher · Biochemistry, Genetics and Molecular Biology

HOGENT University of Applied Sciences and Arts

Ghent, Belgium

Not currently recruitingFunding unknown
Works count
496
Citation count
40,764
H-index
83
i10-index
202

Research interests

Biochemistry, Genetics and Molecular Biology
Immunology and Microbiology
Single-cell and spatial transcriptomics
Cell Image Analysis Techniques
Gene expression and cancer classification
Immune Cell Function and Interaction
Immunotherapy and Immune Responses

Publications

  • Spatial proteogenomics reveals distinct and evolutionarily conserved hepatic macrophage niches

    Cell · 2022 · https://doi.org/10.1016/j.cell.2021.12.018

  • Single-cell profiling of myeloid cells in glioblastoma across species and disease stage reveals macrophage competition and specialization

    Nature Neuroscience · 2021 · https://doi.org/10.1038/s41593-020-00789-y

  • Osteopontin Expression Identifies a Subset of Recruited Macrophages Distinct from Kupffer Cells in the Fatty Liver

    Immunity · 2020 · 10.1016/j.immuni.2020.08.004

  • A scalable SCENIC workflow for single-cell gene regulatory network analysis

    Nature Protocols · 2020 · https://doi.org/10.1038/s41596-020-0336-2

  • Trajectory-based differential expression analysis for single-cell sequencing data

    Nature Communications · 2020 · https://doi.org/10.1038/s41467-020-14766-3

  • A cell atlas of human thymic development defines T cell repertoire formation

    Science · 2020 · 10.1126/science.aay3224

  • Vascular transcription factors guide plant epidermal responses to limiting phosphate conditions

    Science · 2020 · 10.1126/science.aay4970

  • Inflammatory Type 2 cDCs Acquire Features of cDC1s and Macrophages to Orchestrate Immunity to Respiratory Virus Infection

    Immunity · 2020 · 10.1016/j.immuni.2020.04.005

  • NicheNet: modeling intercellular communication by linking ligands to target genes

    Nature Methods · 2019 · https://doi.org/10.1038/s41592-019-0667-5

  • A comparison of single-cell trajectory inference methods

    Nature Biotechnology · 2019 · https://doi.org/10.1038/s41587-019-0071-9

  • Stellate Cells, Hepatocytes, and Endothelial Cells Imprint the Kupffer Cell Identity on Monocytes Colonizing the Liver Macrophage Niche

    Immunity · 2019 · 10.1016/j.immuni.2019.08.017

  • A single-cell atlas of mouse brain macrophages reveals unique transcriptional identities shaped by ontogeny and tissue environment

    Nature Neuroscience · 2019 · 10.1038/s41593-019-0393-4

  • RORγt inhibition selectively targets IL-17 producing iNKT and γδ-T cells enriched in Spondyloarthritis patients

    Nature Communications · 2018 · 10.1038/s41467-018-07911-6

  • A comprehensive evaluation of module detection methods for gene expression data

    Nature Communications · 2018 · 10.1038/s41467-018-03424-4

  • Yolk Sac Macrophages, Fetal Liver, and Adult Monocytes Can Colonize an Empty Niche and Develop into Functional Tissue-Resident Macrophages

    Immunity · 2016 · 10.1016/j.immuni.2016.02.017

  • Bone marrow-derived monocytes give rise to self-renewing and fully differentiated Kupffer cells

    Nature Communications · 2016 · 10.1038/ncomms10321

  • Computational flow cytometry: helping to make sense of high-dimensional immunology data

    Nature reviews. Immunology · 2016 · 10.1038/nri.2016.56

  • Unsupervised High-Dimensional Analysis Aligns Dendritic Cells across Tissues and Species

    Immunity · 2016 · 10.1016/j.immuni.2016.08.015

  • IRF8 Transcription Factor Controls Survival and Function of Terminally Differentiated Conventional and Plasmacytoid Dendritic Cells, Respectively

    Immunity · 2016 · 10.1016/j.immuni.2016.08.013

  • FlowSOM: Using self‐organizing maps for visualization and interpretation of cytometry data

    Cytometry Part A · 2015 · https://doi.org/10.1002/cyto.a.22625

  • The function of Fcγ receptors in dendritic cells and macrophages

    Nature reviews. Immunology · 2014 · 10.1038/nri3582

  • Robust biomarker identification for cancer diagnosis with ensemble feature selection methods

    Bioinformatics · 2009 · 10.1093/bioinformatics/btp630

  • Robust Feature Selection Using Ensemble Feature Selection Techniques

    Lecture notes in computer science · 2008 · 10.1007/978-3-540-87481-2_21

  • A review of feature selection techniques in bioinformatics

    Bioinformatics · 2007 · https://doi.org/10.1093/bioinformatics/btm344

  • Genome analysis of the smallest free-living eukaryote Ostreococcus tauri unveils many unique features

    Proceedings of the National Academy of Sciences · 2006 · 10.1073/pnas.0604795103

Current projects

    No projects listed.