Rezultati pretrage - Julio Sáez-Rodríguez

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  1. 1
    Footprint-based functional analysis of multiomic data

    Footprint-based functional analysis of multiomic data od Aurélien Dugourd, Julio Sáez-Rodríguez

    Izdano 2019
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  2. 2
    Personalized signaling models for personalized treatments

    Personalized signaling models for personalized treatments od Julio Sáez-Rodríguez, Nils Blüthgen

    Izdano 2020
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  3. 3
    Advances in systems biology modeling: 10 years of crowdsourcing DREAM challenges

    Advances in systems biology modeling: 10 years of crowdsourcing DREAM challenges od Pablo Meyer, Julio Sáez-Rodríguez

    Izdano 2021
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  4. 4
    Network based elucidation of drug response: from modulators to targets

    Network based elucidation of drug response: from modulators to targets od Francesco Iorio, Julio Sáez-Rodríguez, Diego di Bernardo

    Izdano 2013
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  5. 5
    Structural and functional analysis of cellular networks with CellNetAnalyzer

    Structural and functional analysis of cellular networks with CellNetAnalyzer od Steffen Klamt, Julio Sáez-Rodríguez, Ernst D Gilles

    Izdano 2007
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  6. 6
    Transfer of regulatory knowledge from human to mouse for functional genomics analysis

    Transfer of regulatory knowledge from human to mouse for functional genomics analysis od Christian H. Holland, Bence Szalai, Julio Sáez-Rodríguez

    Izdano 2019
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  7. 7
    Enablers and challenges of spatial omics, a melting pot of technologies

    Enablers and challenges of spatial omics, a melting pot of technologies od Theodore Alexandrov, Julio Sáez-Rodríguez, Sinem K. Saka

    Izdano 2023
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  8. 8
    Molecular causality in the advent of foundation models

    Molecular causality in the advent of foundation models od Sebastian Lobentanzer, Pablo Rodríguez-Mier, Stefan Bauer, Julio Sáez-Rodríguez

    Izdano 2024
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  9. 9
    Modeling Cell-Cell Interactions from Spatial Molecular Data with Spatial Variance Component Analysis

    Modeling Cell-Cell Interactions from Spatial Molecular Data with Spatial Variance Component Analysis od Damien Arnol, Denis Schapiro, Bernd Bodenmiller, Julio Sáez-Rodríguez, Oliver Stegle

    Izdano 2019
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  10. 10
    Transcriptional data: a new gateway to drug repositioning?

    Transcriptional data: a new gateway to drug repositioning? od Francesco Iorio, Timothy Rittman, Hong Ge, Michael P. Menden, Julio Sáez-Rodríguez

    Izdano 2012
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  11. 11
    Logic-Based Models for the Analysis of Cell Signaling Networks

    Logic-Based Models for the Analysis of Cell Signaling Networks od Melody K. Morris, Julio Sáez-Rodríguez, Peter K. Sorger, Douglas A. Lauffenburger

    Izdano 2010
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  12. 12
    The orchestra of lipid-transfer proteins at the crossroads between metabolism and signaling

    The orchestra of lipid-transfer proteins at the crossroads between metabolism and signaling od Antonella Chiapparino, Kenji Maeda, Dénes Türei, Julio Sáez-Rodríguez, Anne‐Claude Gavin

    Izdano 2015
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  13. 13
    Benchmarking substrate-based kinase activity inference using phosphoproteomic data

    Benchmarking substrate-based kinase activity inference using phosphoproteomic data od Claudia Hernández-Armenta, David Ochoa, Emanuel Gonçalves, Julio Sáez-Rodríguez, Pedro Beltrão

    Izdano 2017
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  14. 14
    A systematic atlas of chaperome deregulation topologies across the human cancer landscape

    A systematic atlas of chaperome deregulation topologies across the human cancer landscape od Ali Hadizadeh Esfahani, Angelina Sverchkova, Julio Sáez-Rodríguez, Andreas Schuppert, Marc Brehme

    Izdano 2018
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  15. 15
    Integrating knowledge and omics to decipher mechanisms via large‐scale models of signaling networks

    Integrating knowledge and omics to decipher mechanisms via large‐scale models of signaling networks od Martín Garrido‐Rodriguez, Katharina Zirngibl, Olga Ivanova, Sebastian Lobentanzer, Julio Sáez-Rodríguez

    Izdano 2022
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  16. 16
    Combining LIANA and Tensor-cell2cell to decipher cell-cell communication across multiple samples

    Combining LIANA and Tensor-cell2cell to decipher cell-cell communication across multiple samples od Hratch Baghdassarian, Daniel Dimitrov, Erick Armingol, Julio Sáez-Rodríguez, Nathan E. Lewis

    Izdano 2024
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  17. 17
    A domain-oriented approach to the reduction of combinatorial complexity in signal transduction networks

    A domain-oriented approach to the reduction of combinatorial complexity in signal transduction networks od H. Conzelmann, Julio Sáez-Rodríguez, Thomas Sauter, Boris Ν. Kholodenko, Ernst D Gilles

    Izdano 2006
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  18. 18
    A methodology for the structural and functional analysis of signaling and regulatory networks

    A methodology for the structural and functional analysis of signaling and regulatory networks od Steffen Klamt, Julio Sáez-Rodríguez, Jonathan A. Lindquist, Luca Simeoni, Ernst D Gilles

    Izdano 2006
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  19. 19
    State–time spectrum of signal transduction logic models

    State–time spectrum of signal transduction logic models od Aidan MacNamara, Camille Terfve, David Henriques, Beatriz Peñalver Bernabé, Julio Sáez-Rodríguez

    Izdano 2012
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  20. 20
    Data-driven reverse engineering of signaling pathways using ensembles of dynamic models

    Data-driven reverse engineering of signaling pathways using ensembles of dynamic models od David Henriques, Alejandro F. Villaverde, Miguel Rocha, Julio Sáez-Rodríguez, Julio R. Banga

    Izdano 2017
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