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Sayed-Rzgar Hosseini

Showing results (1-10 of 14) with videos related to

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Briefings in Bioinformatics|December 23, 2022
CCSynergy: an integrative deep-learning framework enabling context-aware prediction of anti-cancer drug synergySayed-Rzgar Hosseini, Xiaobo Zhou
Proceedings of the National Academy of Sciences of the United States of America|June 20, 2018
Genomic organization underlying deletional robustness in bacterial metabolic systemsSayed-Rzgar Hosseini, Andreas Wagner
BMC Systems Biology|October 23, 2016
The potential for non-adaptive origins of evolutionary innovations in central carbon metabolismSayed-Rzgar Hosseini, Andreas Wagner
Biophysical Journal|August 10, 2017
Constraint and Contingency Pervade the Emergence of Novel Phenotypes in Complex Metabolic SystemsSayed-Rzgar Hosseini, Andreas Wagner
Plos Computational Biology|August 8, 2015
Exhaustive Analysis of a Genotype Space Comprising 10(15 )Central Carbon Metabolisms Reveals an Organization Conducive to Metabolic InnovationSayed-Rzgar Hosseini, Aditya Barve, Andreas Wagner
Proceedings. Biological Sciences|September 30, 2016
Phenotypic innovation through recombination in genome-scale metabolic networksSayed-Rzgar Hosseini, Olivier C Martin, Andreas Wagner
Current Genomics|December 26, 2025
Rank Aggregation Methods and Tools in Genomic Data AnalysisWenping Zou, Savannah Mwesigwa, Sayed-Rzgar Hosseini, et al.
Bioinformatics (Oxford, England)|September 13, 2019
Estimating the predictability of cancer evolutionSayed-Rzgar Hosseini, Ramon Diaz-Uriarte, Florian Markowetz, et al.
BMC Systems Biology|April 25, 2014
Historical contingency and the gradual evolution of metabolic properties in central carbon and genome-scale metabolismsAditya Barve, Sayed-Rzgar Hosseini, Olivier C Martin, et al.
Plos Computational Biology|July 25, 2019
Syntrophy emerges spontaneously in complex metabolic systemsEric Libby, Laurent Hébert-Dufresne, Sayed-Rzgar Hosseini, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Briefings in Bioinformatics|December 23, 2022
CCSynergy: an integrative deep-learning framework enabling context-aware prediction of anti-cancer drug synergySayed-Rzgar Hosseini, Xiaobo Zhou
Proceedings of the National Academy of Sciences of the United States of America|June 20, 2018
Genomic organization underlying deletional robustness in bacterial metabolic systemsSayed-Rzgar Hosseini, Andreas Wagner
BMC Systems Biology|October 23, 2016
The potential for non-adaptive origins of evolutionary innovations in central carbon metabolismSayed-Rzgar Hosseini, Andreas Wagner
Biophysical Journal|August 10, 2017
Constraint and Contingency Pervade the Emergence of Novel Phenotypes in Complex Metabolic SystemsSayed-Rzgar Hosseini, Andreas Wagner
Plos Computational Biology|August 8, 2015
Exhaustive Analysis of a Genotype Space Comprising 10(15 )Central Carbon Metabolisms Reveals an Organization Conducive to Metabolic InnovationSayed-Rzgar Hosseini, Aditya Barve, Andreas Wagner
Proceedings. Biological Sciences|September 30, 2016
Phenotypic innovation through recombination in genome-scale metabolic networksSayed-Rzgar Hosseini, Olivier C Martin, Andreas Wagner
Current Genomics|December 26, 2025
Rank Aggregation Methods and Tools in Genomic Data AnalysisWenping Zou, Savannah Mwesigwa, Sayed-Rzgar Hosseini, et al.
Bioinformatics (Oxford, England)|September 13, 2019
Estimating the predictability of cancer evolutionSayed-Rzgar Hosseini, Ramon Diaz-Uriarte, Florian Markowetz, et al.
BMC Systems Biology|April 25, 2014
Historical contingency and the gradual evolution of metabolic properties in central carbon and genome-scale metabolismsAditya Barve, Sayed-Rzgar Hosseini, Olivier C Martin, et al.
Plos Computational Biology|July 25, 2019
Syntrophy emerges spontaneously in complex metabolic systemsEric Libby, Laurent Hébert-Dufresne, Sayed-Rzgar Hosseini, et al.
Pageof 2