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Eugenio Azpeitia

Showing results (1-10 of 24) with videos related to

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Frontiers in Molecular Biosciences|May 16, 2020
Short Residence Times of DNA-Bound Transcription Factors Can Reduce Gene Expression Noise and Increase the Transmission of Information in a Gene Regulation SystemEugenio Azpeitia, Andreas Wagner
Plant Molecular Biology|September 5, 2012
A complex systems approach to Arabidopsis root stem-cell niche developmental mechanisms: from molecules, to networks, to morphogenesisEugenio Azpeitia, Elena R Alvarez-Buylla
Comptes Rendus Biologies|June 23, 2023
Cauliflowers or how the perseverance of a plant to make flowers produces an amazing fractal structureEugenio Azpeitia, François Parcy, Christophe Godin
BMC Bioinformatics|October 17, 2020
Signaling pathways have an inherent need for noise to acquire informationEugenio Azpeitia, Eugenio P Balanzario, Andreas Wagner
Methods in Molecular Biology (Clifton, N.J.)|November 25, 2021
Introduction to Computational Modeling of Multicellular TissuesJean-Louis Dinh, Christophe Godin, Eugenio Azpeitia
Current Opinion in Plant Biology|December 11, 2012
Dynamic models of epidermal patterning as an approach to plant eco-evo-devoMariana Benítez, Eugenio Azpeitia, Elena R Alvarez-Buylla
Frontiers in Genetics|March 22, 2018
Griffin: A Tool for Symbolic Inference of Synchronous Boolean Molecular NetworksStalin Muñoz, Miguel Carrillo, Eugenio Azpeitia, et al.
Plos Computational Biology|April 21, 2017
A dynamic genetic-hormonal regulatory network model explains multiple cellular behaviors of the root apical meristem of Arabidopsis thalianaMónica L García-Gómez, Eugenio Azpeitia, Elena R Álvarez-Buylla
Methods in Molecular Biology (Clifton, N.J.)|January 8, 2014
Gene regulatory network models for floral organ determinationEugenio Azpeitia, José Davila-Velderrain, Carlos Villarreal, et al.
BMC Systems Biology|October 6, 2010
Single-cell and coupled GRN models of cell patterning in the Arabidopsis thaliana root stem cell nicheEugenio Azpeitia, Mariana Benítez, Iliusi Vega, et al.
Pageof 3

Showing results (1-10 of 24) with videos related to

Sort By:
Pageof 3
Frontiers in Molecular Biosciences|May 16, 2020
Short Residence Times of DNA-Bound Transcription Factors Can Reduce Gene Expression Noise and Increase the Transmission of Information in a Gene Regulation SystemEugenio Azpeitia, Andreas Wagner
Plant Molecular Biology|September 5, 2012
A complex systems approach to Arabidopsis root stem-cell niche developmental mechanisms: from molecules, to networks, to morphogenesisEugenio Azpeitia, Elena R Alvarez-Buylla
Comptes Rendus Biologies|June 23, 2023
Cauliflowers or how the perseverance of a plant to make flowers produces an amazing fractal structureEugenio Azpeitia, François Parcy, Christophe Godin
BMC Bioinformatics|October 17, 2020
Signaling pathways have an inherent need for noise to acquire informationEugenio Azpeitia, Eugenio P Balanzario, Andreas Wagner
Methods in Molecular Biology (Clifton, N.J.)|November 25, 2021
Introduction to Computational Modeling of Multicellular TissuesJean-Louis Dinh, Christophe Godin, Eugenio Azpeitia
Current Opinion in Plant Biology|December 11, 2012
Dynamic models of epidermal patterning as an approach to plant eco-evo-devoMariana Benítez, Eugenio Azpeitia, Elena R Alvarez-Buylla
Frontiers in Genetics|March 22, 2018
Griffin: A Tool for Symbolic Inference of Synchronous Boolean Molecular NetworksStalin Muñoz, Miguel Carrillo, Eugenio Azpeitia, et al.
Plos Computational Biology|April 21, 2017
A dynamic genetic-hormonal regulatory network model explains multiple cellular behaviors of the root apical meristem of Arabidopsis thalianaMónica L García-Gómez, Eugenio Azpeitia, Elena R Álvarez-Buylla
Methods in Molecular Biology (Clifton, N.J.)|January 8, 2014
Gene regulatory network models for floral organ determinationEugenio Azpeitia, José Davila-Velderrain, Carlos Villarreal, et al.
BMC Systems Biology|October 6, 2010
Single-cell and coupled GRN models of cell patterning in the Arabidopsis thaliana root stem cell nicheEugenio Azpeitia, Mariana Benítez, Iliusi Vega, et al.
Pageof 3