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C Nacher

Showing results (31-40 of 46) with videos related to

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Nature Communications|June 22, 2019
Probabilistic controllability approach to metabolic fluxes in normal and cancer tissuesJean-Marc Schwartz, Hiroaki Otokuni, Tatsuya Akutsu, et al.
Bioinformatics (Oxford, England)|July 29, 2006
Identification of metabolic units induced by environmental signalsJose C Nacher, Jean-Marc Schwartz, Minoru Kanehisa, et al.
NPJ Systems Biology and Applications|January 20, 2024
Measuring criticality in control of complex biological networksWataru Someya, Tatsuya Akutsu, Jean-Marc Schwartz, et al.
NPJ Systems Biology and Applications|August 12, 2024
A practically efficient algorithm for identifying critical control proteins in directed probabilistic biological networksYusuke Tokuhara, Tatsuya Akutsu, Jean-Marc Schwartz, et al.
International Journal of Bioinformatics Research and Applications|September 11, 2012
Protein complex prediction via improved verification methods using constrained domain-domain matchingYang Zhao, Morihiro Hayashida, Jose C Nacher, et al.
BMC Systems Biology|April 20, 2018
ncRNA-disease association prediction based on sequence information and tripartite networkTakuya Mori, Hayliang Ngouv, Morihiro Hayashida, et al.
BMC Bioinformatics|December 25, 2004
Clustering under the line graph transformation: application to reaction networkJose C Nacher, Nobuhisa Ueda, Takuji Yamada, et al.
Scientific Reports|October 14, 2015
Determining Associations between Human Diseases and non-coding RNAs with Critical Roles in Network ControlHaruna Kagami, Tatsuya Akutsu, Shingo Maegawa, et al.
Plos One|November 7, 2017
Identification of genes and critical control proteins associated with inflammatory breast cancer using network controllabilityRyouji Wakai, Masayuki Ishitsuka, Toshihiko Kishimoto, et al.
Journal of Bioinformatics and Computational Biology|July 11, 2019
Convolutional neural network approach to lung cancer classification integrating protein interaction network and gene expression profilesTeppei Matsubara, Tomoshiro Ochiai, Morihiro Hayashida, et al.
Pageof 5

Showing results (31-40 of 46) with videos related to

Sort By:
Pageof 5
Nature Communications|June 22, 2019
Probabilistic controllability approach to metabolic fluxes in normal and cancer tissuesJean-Marc Schwartz, Hiroaki Otokuni, Tatsuya Akutsu, et al.
Bioinformatics (Oxford, England)|July 29, 2006
Identification of metabolic units induced by environmental signalsJose C Nacher, Jean-Marc Schwartz, Minoru Kanehisa, et al.
NPJ Systems Biology and Applications|January 20, 2024
Measuring criticality in control of complex biological networksWataru Someya, Tatsuya Akutsu, Jean-Marc Schwartz, et al.
NPJ Systems Biology and Applications|August 12, 2024
A practically efficient algorithm for identifying critical control proteins in directed probabilistic biological networksYusuke Tokuhara, Tatsuya Akutsu, Jean-Marc Schwartz, et al.
International Journal of Bioinformatics Research and Applications|September 11, 2012
Protein complex prediction via improved verification methods using constrained domain-domain matchingYang Zhao, Morihiro Hayashida, Jose C Nacher, et al.
BMC Systems Biology|April 20, 2018
ncRNA-disease association prediction based on sequence information and tripartite networkTakuya Mori, Hayliang Ngouv, Morihiro Hayashida, et al.
BMC Bioinformatics|December 25, 2004
Clustering under the line graph transformation: application to reaction networkJose C Nacher, Nobuhisa Ueda, Takuji Yamada, et al.
Scientific Reports|October 14, 2015
Determining Associations between Human Diseases and non-coding RNAs with Critical Roles in Network ControlHaruna Kagami, Tatsuya Akutsu, Shingo Maegawa, et al.
Plos One|November 7, 2017
Identification of genes and critical control proteins associated with inflammatory breast cancer using network controllabilityRyouji Wakai, Masayuki Ishitsuka, Toshihiko Kishimoto, et al.
Journal of Bioinformatics and Computational Biology|July 11, 2019
Convolutional neural network approach to lung cancer classification integrating protein interaction network and gene expression profilesTeppei Matsubara, Tomoshiro Ochiai, Morihiro Hayashida, et al.
Pageof 5