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Hisashi Kashima

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

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Journal of Molecular Graphics & Modelling|October 23, 2010
Prediction of protein-ligand binding affinities using multiple instance learningReiji Teramoto, Hisashi Kashima
Scientific Reports|May 17, 2022
Chemical property prediction under experimental biasesYang Liu, Hisashi Kashima
Journal of Molecular Graphics & Modelling|February 8, 2018
Wisdom of crowds for synthetic accessibility evaluationYukino Baba, Tetsu Isomura, Hisashi Kashima
Bioinformatics (Oxford, England)|December 25, 2003
Efficient filtering methods for clustering cDNAs with spliced sequence alignmentTetsuo Shibuya, Hisashi Kashima, Akihiko Konagaya
Scientific Reports|August 5, 2024
Meta graphical lasso: uncovering hidden interactions among latent mechanismsKoji Maruhashi, Hisashi Kashima, Satoru Miyano, et al.
BMC Bioinformatics|February 4, 2010
Reaction graph kernels predict EC numbers of unknown enzymatic reactions in plant secondary metabolismHiroto Saigo, Masahiro Hattori, Hisashi Kashima, et al.
Bioinformatics (Oxford, England)|August 20, 2009
Simultaneous inference of biological networks of multiple species from genome-wide data and evolutionary information: a semi-supervised approachHisashi Kashima, Yoshihiro Yamanishi, Tsuyoshi Kato, et al.
Scientific Reports|December 9, 2021
Predicting anesthetic infusion events using machine learningNaoki Miyaguchi, Koh Takeuchi, Hisashi Kashima, et al.
Genome Informatics. International Conference on Genome Informatics|May 16, 2007
A gram distribution kernel applied to glycan classification and motif extractionTetsuji Kuboyama, Kouichi Hirata, Kiyoko F Aoki-Kinoshita, et al.
BMC Bioinformatics|April 24, 2020
Dual graph convolutional neural network for predicting chemical networksShonosuke Harada, Hirotaka Akita, Masashi Tsubaki, et al.
Pageof 2

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

Sort By:
Pageof 2
Journal of Molecular Graphics & Modelling|October 23, 2010
Prediction of protein-ligand binding affinities using multiple instance learningReiji Teramoto, Hisashi Kashima
Scientific Reports|May 17, 2022
Chemical property prediction under experimental biasesYang Liu, Hisashi Kashima
Journal of Molecular Graphics & Modelling|February 8, 2018
Wisdom of crowds for synthetic accessibility evaluationYukino Baba, Tetsu Isomura, Hisashi Kashima
Bioinformatics (Oxford, England)|December 25, 2003
Efficient filtering methods for clustering cDNAs with spliced sequence alignmentTetsuo Shibuya, Hisashi Kashima, Akihiko Konagaya
Scientific Reports|August 5, 2024
Meta graphical lasso: uncovering hidden interactions among latent mechanismsKoji Maruhashi, Hisashi Kashima, Satoru Miyano, et al.
BMC Bioinformatics|February 4, 2010
Reaction graph kernels predict EC numbers of unknown enzymatic reactions in plant secondary metabolismHiroto Saigo, Masahiro Hattori, Hisashi Kashima, et al.
Bioinformatics (Oxford, England)|August 20, 2009
Simultaneous inference of biological networks of multiple species from genome-wide data and evolutionary information: a semi-supervised approachHisashi Kashima, Yoshihiro Yamanishi, Tsuyoshi Kato, et al.
Scientific Reports|December 9, 2021
Predicting anesthetic infusion events using machine learningNaoki Miyaguchi, Koh Takeuchi, Hisashi Kashima, et al.
Genome Informatics. International Conference on Genome Informatics|May 16, 2007
A gram distribution kernel applied to glycan classification and motif extractionTetsuji Kuboyama, Kouichi Hirata, Kiyoko F Aoki-Kinoshita, et al.
BMC Bioinformatics|April 24, 2020
Dual graph convolutional neural network for predicting chemical networksShonosuke Harada, Hirotaka Akita, Masashi Tsubaki, et al.
Pageof 2