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Laboratory of Computational, Quantitative and Synthetic Biology (CQSB)
UMR 7238 CNRS - Sorbonne Université
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CNRS-grand-1200pxl-f40
  • Home
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    • Adaptation, Intégration, Reticulation, Evolution (AIRE)
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    • Functional Imaging Of Nuclear Architecture (FIONA)
    • Genetic Networks
    • Horizontal Evolution of Algal Lifestyles (HEAL)
    • Molecular Modeling and Drug Discovery (M2D2)
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    • Functional Imaging Of Nuclear Architecture (FIONA)
    • Genetic Networks
    • Horizontal Evolution of Algal Lifestyles (HEAL)
    • Molecular Modeling and Drug Discovery (M2D2)
    • Proteome Diversification in Evolution
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    • Epigenetics and RNA Metabolism in Human Diseases
    • Functional Imaging Of Nuclear Architecture (FIONA)
    • Genetic Networks
    • Horizontal Evolution of Algal Lifestyles (HEAL)
    • Molecular Modeling and Drug Discovery (M2D2)
    • Proteome Diversification in Evolution
    • Statistical Genomics and Biological Physics
    • Synthetic and Systems Biology of Microalgae
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    • Adaptation, Intégration, Reticulation, Evolution (AIRE)
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    • Biology of Genomes
    • Computational Medicine
    • Epigenetics and RNA Metabolism in Human Diseases
    • Functional Imaging Of Nuclear Architecture (FIONA)
    • Genetic Networks
    • Horizontal Evolution of Algal Lifestyles (HEAL)
    • Molecular Modeling and Drug Discovery (M2D2)
    • Proteome Diversification in Evolution
    • Statistical Genomics and Biological Physics
    • Synthetic and Systems Biology of Microalgae
    • Systems Engineering and Evolution Dynamics (SEED)
    • Telomere & Genome Stability
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Publications / Statistical Genomics and Biological Physics

Perturbation biology: inferring signaling networks in cellular systems.

Molinelli E., Korkut A., Wang W., Miller M., Gauthier N., Jing X., Kaushik P., He Q., Mills G., Solit D., Pratilas C., Weigt M., Braunstein A., Pagnani A., Zecchina R., Sander C. PLoS Computational Biology (2013)

Comments Off on Perturbation biology: inferring signaling networks in cellular systems.
19 December 2013
Publications / Statistical Genomics and Biological Physics

Inference of sparse combinatorial-control networks from gene-expression data: a message passing approach.

Bailly-Bechet M., Braunstein A., Pagnani A., Weigt M., Zecchina R. BMC Bioinformatics (2010)

Comments Off on Inference of sparse combinatorial-control networks from gene-expression data: a message passing approach.
1 December 2010
Publications / Statistical Genomics and Biological Physics

Aligning graphs and finding substructures by message passing

Bradde S., Braunstein A., Mahmoudi H., Tria F., Weigt M., Zecchina R. EPL (Europhysics Letters) (2010)

Comments Off on Aligning graphs and finding substructures by message passing
1 February 2010
Publications / Statistical Genomics and Biological Physics

Inference algorithms for gene networks: a statistical mechanics analysis

Braunstein A., Pagnani A., Weigt M., Zecchina R. Journal of Statistical Mechanics: Theory and Experiment (2008)

Comments Off on Inference algorithms for gene networks: a statistical mechanics analysis
1 January 2008
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UMR 7238 CNRS
Sorbonne Université

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Sorbonne Université

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