Emmanuel Barillot

Inserm — France

Biochemistry, Genetics and Molecular Biology · Life Sciences

75h-index22.4kcitations438works6.12yr avg
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Research Topics

Bioinformatics and Genomic Networks(103), Gene expression and cancer classification(77), Gene Regulatory Network Analysis(54), Cancer Genomics and Diagnostics(38), Computational Drug Discovery Methods(37)

Publications434 total

Multiomic integration reveals tumoral heterogeneity of lipid dependence within lethal group 3 medulloblastoma
Cancer Cell·2026
sCellST predicts single-cell gene expression from H& E images
Nature Communications·2026Open Access
HEDeST: An Integrative Approach to Enhance Spatial Transcriptomic Deconvolution with Histology
2026Open Access
Mesenchymal to Epithelial Transition (MET) in Cancer Progression: Insights from logical modeling
2025· 1 citedOpen Access
AstroLogics: A simulation-based analysis framework for monotonous Boolean model ensemble
2025Open Access
NeKo: A tool for automatic network construction from prior knowledge
PLoS Computational Biology·2025· 4 citedOpen Access
Author Correction: Systems medicine disease maps: community-driven comprehensive representation of disease mechanisms
npj Systems Biology and Applications·2025Open Access
Cell-type deconvolution methods for spatial transcriptomics
Nature Reviews Genetics·2025· 24 cited
Integration of clinical, pathological, radiological, and transcriptomic data improves prediction for first-line immunotherapy outcome in metastatic non-small cell lung cancer
Nature Communications·2025· 35 citedOpen Access
sCellST: a Multiple Instance Learning approach to predict single-cell gene expression from H&E images using spatial transcriptomics
2024· 1 citedOpen Access
NeKo: a tool for automatic network construction from prior knowledge
2024· 6 citedOpen Access
Building multiscale models with PhysiBoSS, an agent-based modeling tool
Briefings in Bioinformatics·2024· 5 citedOpen Access
Integration of clinical, pathological, radiological, and transcriptomic data improves the prediction of first-line immunotherapy outcome in metastatic non-small cell lung cancer
2024· 1 citedOpen Access
Maboss for HPC environments: implementations of the continuous time Boolean model simulator for large CPU clusters and GPU accelerators
BMC Bioinformatics·2024· 2 citedOpen Access
Identification of Interpretable Clusters and Associated Signatures in Breast Cancer Single-Cell Data: A Topic Modeling Approach
Cancers·2024· 6 citedOpen Access
MaBoSS for HPC environments: Implementations of the continuous time Boolean model simulator for large CPU clusters and GPU accelerators
2024Open Access
Drug-target identification in COVID-19 disease mechanisms using computational systems biology approaches
Frontiers in Immunology·2024· 18 citedOpen Access
PhysiBoSS 2.0: a sustainable integration of stochastic Boolean and agent-based modelling frameworks
npj Systems Biology and Applications·2023· 43 citedOpen Access
Multiscale model of the different modes of cancer cell invasion
Bioinformatics·2023· 29 citedOpen Access
Models including pathological and radiomic features vs clinical models in predicting outcome of patients with metastatic non-small cell lung cancer treated with immunotherapy.
Journal of Clinical Oncology·2023· 1 cited
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Frequent Co-authors

Nicolas Servant(13), Andreï Zinovyev(13), Philippe Hupé(11), Olivier Delattre(10), Laurence Calzone(9), Édith Heard(8), Valentina Boeva(7), Isabelle Janoueix‐Lerosey(7), Eric Viara(5), Jean‐Philippe Vert(5), Xavier Sastre‐Garau(5), David Gentien(5), François Radvanyi(4), Virginie Raynal(4), Laurence Desjardins(4), Élodie Manié(4), Marc‐Henri Stern(4), Sergio Roman‐Roman(4), Bernard Asselain(4), Inna Kuperstein(4)