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Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|
October 1, 2013
An improved satisfiability algorithm for nested canalyzing functions and its application to determining a singleton attractor of a Boolean network
Avraham A Melkman, Tatsuya Akutsu
IEEE Transactions on Neural Networks and Learning Systems
|
December 25, 2023
On the Size and Width of the Decoder of a Boolean Threshold Autoencoder
Tatsuya Akutsu, Avraham A Melkman
IEEE Transactions on Neural Networks and Learning Systems
|
December 25, 2018
Identification of the Structure of a Probabilistic Boolean Network From Samples Including Frequencies of Outcomes
Tatsuya Akutsu, Avraham A Melkman
Neural Networks : the Official Journal of the International Neural Network Society
|
April 12, 2020
Extracting boolean and probabilistic rules from trained neural networks
Pengyu Liu, Avraham A Melkman, Tatsuya Akutsu
Bioinformatics (Oxford, England)
|
November 9, 2007
Hierarchical tree snipping: clustering guided by prior knowledge
Dikla Dotan-Cohen, Avraham A Melkman, Simon Kasif
Bioinformatics (Oxford, England)
|
June 6, 2009
Seeing the forest for the trees: using the Gene Ontology to restructure hierarchical clustering
Dikla Dotan-Cohen, Simon Kasif, Avraham A Melkman
IEEE/ACM Transactions on Computational Biology and Bioinformatics
|
June 13, 2012
Finding a periodic attractor of a Boolean network
Tatsuya Akutsu, Sven Kosub, Avraham A Melkman, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|
May 11, 2011
Determining a singleton attractor of a boolean network with nested canalyzing functions
Tatsuya Akutsu, Avraham A Melkman, Takeyuki Tamura, et al.
IEEE Transactions on Neural Networks and Learning Systems
|
January 28, 2017
Identifying a Probabilistic Boolean Threshold Network From Samples
Avraham A Melkman, Xiaoqing Cheng, Wai-Ki Ching, et al.
Plos One
|
April 25, 2009
Biological process linkage networks
Dikla Dotan-Cohen, Stan Letovsky, Avraham A Melkman, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 12) with videos related to
Sort By:
Page
of 2
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|
October 1, 2013
An improved satisfiability algorithm for nested canalyzing functions and its application to determining a singleton attractor of a Boolean network
Avraham A Melkman, Tatsuya Akutsu
IEEE Transactions on Neural Networks and Learning Systems
|
December 25, 2023
On the Size and Width of the Decoder of a Boolean Threshold Autoencoder
Tatsuya Akutsu, Avraham A Melkman
IEEE Transactions on Neural Networks and Learning Systems
|
December 25, 2018
Identification of the Structure of a Probabilistic Boolean Network From Samples Including Frequencies of Outcomes
Tatsuya Akutsu, Avraham A Melkman
Neural Networks : the Official Journal of the International Neural Network Society
|
April 12, 2020
Extracting boolean and probabilistic rules from trained neural networks
Pengyu Liu, Avraham A Melkman, Tatsuya Akutsu
Bioinformatics (Oxford, England)
|
November 9, 2007
Hierarchical tree snipping: clustering guided by prior knowledge
Dikla Dotan-Cohen, Avraham A Melkman, Simon Kasif
Bioinformatics (Oxford, England)
|
June 6, 2009
Seeing the forest for the trees: using the Gene Ontology to restructure hierarchical clustering
Dikla Dotan-Cohen, Simon Kasif, Avraham A Melkman
IEEE/ACM Transactions on Computational Biology and Bioinformatics
|
June 13, 2012
Finding a periodic attractor of a Boolean network
Tatsuya Akutsu, Sven Kosub, Avraham A Melkman, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|
May 11, 2011
Determining a singleton attractor of a boolean network with nested canalyzing functions
Tatsuya Akutsu, Avraham A Melkman, Takeyuki Tamura, et al.
IEEE Transactions on Neural Networks and Learning Systems
|
January 28, 2017
Identifying a Probabilistic Boolean Threshold Network From Samples
Avraham A Melkman, Xiaoqing Cheng, Wai-Ki Ching, et al.
Plos One
|
April 25, 2009
Biological process linkage networks
Dikla Dotan-Cohen, Stan Letovsky, Avraham A Melkman, et al.
Page
of 2