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Narsis A Kiani

Showing results (1-10 of 45) with videos related to

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BMC Bioinformatics|July 23, 2014
Dynamic probabilistic threshold networks to infer signaling pathways from time-course perturbation dataNarsis A Kiani, Lars Kaderali
Seminars in Cell & Developmental Biology|December 17, 2016
Corrigendum to "Methods of information theory and algorithmic complexity for network biology" [Semin. Cell Dev. Biol. 51 (2016) 32-43]Hector Zenil, Narsis A Kiani, Jesper Tegnér
Entropy (Basel, Switzerland)|December 3, 2020
The Thermodynamics of Network Coding, and an Algorithmic Refinement of the Principle of Maximum EntropyHector Zenil, Narsis A Kiani, Jesper Tegnér
Entropy (Basel, Switzerland)|December 3, 2020
Symmetry and Correspondence of Algorithmic Complexity over Geometric, Spatial and Topological RepresentationsHector Zenil, Narsis A Kiani, Jesper Tegnér
Entropy (Basel, Switzerland)|December 3, 2020
A Review of Graph and Network Complexity from an Algorithmic Information PerspectiveHector Zenil, Narsis A Kiani, Jesper Tegnér
Seminars in Cell & Developmental Biology|January 24, 2016
Methods of information theory and algorithmic complexity for network biologyHector Zenil, Narsis A Kiani, Jesper Tegnér
Physical Review. E|January 20, 2018
Low-algorithmic-complexity entropy-deceiving graphsHector Zenil, Narsis A Kiani, Jesper Tegnér
Royal Society Open Science|September 19, 2018
Algorithmically probable mutations reproduce aspects of evolution, such as convergence rate, genetic memory and modularitySantiago Hernández-Orozco, Narsis A Kiani, Hector Zenil
Current Pharmaceutical Design|October 5, 2016
Systems Toxicology: Systematic Approach to Predict ToxicityNarsis A Kiani, Ming-Mei Shang, Jesper Tegner
Seminars in Cell & Developmental Biology|February 7, 2016
Evaluating network inference methods in terms of their ability to preserve the topology and complexity of genetic networksNarsis A Kiani, Hector Zenil, Jakub Olczak, et al.
Pageof 5

Showing results (1-10 of 45) with videos related to

Sort By:
Pageof 5
BMC Bioinformatics|July 23, 2014
Dynamic probabilistic threshold networks to infer signaling pathways from time-course perturbation dataNarsis A Kiani, Lars Kaderali
Seminars in Cell & Developmental Biology|December 17, 2016
Corrigendum to "Methods of information theory and algorithmic complexity for network biology" [Semin. Cell Dev. Biol. 51 (2016) 32-43]Hector Zenil, Narsis A Kiani, Jesper Tegnér
Entropy (Basel, Switzerland)|December 3, 2020
The Thermodynamics of Network Coding, and an Algorithmic Refinement of the Principle of Maximum EntropyHector Zenil, Narsis A Kiani, Jesper Tegnér
Entropy (Basel, Switzerland)|December 3, 2020
Symmetry and Correspondence of Algorithmic Complexity over Geometric, Spatial and Topological RepresentationsHector Zenil, Narsis A Kiani, Jesper Tegnér
Entropy (Basel, Switzerland)|December 3, 2020
A Review of Graph and Network Complexity from an Algorithmic Information PerspectiveHector Zenil, Narsis A Kiani, Jesper Tegnér
Seminars in Cell & Developmental Biology|January 24, 2016
Methods of information theory and algorithmic complexity for network biologyHector Zenil, Narsis A Kiani, Jesper Tegnér
Physical Review. E|January 20, 2018
Low-algorithmic-complexity entropy-deceiving graphsHector Zenil, Narsis A Kiani, Jesper Tegnér
Royal Society Open Science|September 19, 2018
Algorithmically probable mutations reproduce aspects of evolution, such as convergence rate, genetic memory and modularitySantiago Hernández-Orozco, Narsis A Kiani, Hector Zenil
Current Pharmaceutical Design|October 5, 2016
Systems Toxicology: Systematic Approach to Predict ToxicityNarsis A Kiani, Ming-Mei Shang, Jesper Tegner
Seminars in Cell & Developmental Biology|February 7, 2016
Evaluating network inference methods in terms of their ability to preserve the topology and complexity of genetic networksNarsis A Kiani, Hector Zenil, Jakub Olczak, et al.
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