Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Hiroto Saigo

Showing results (1-10 of 23) with videos related to

Pageof 3
Sort By:
Journal of Bioinformatics and Computational Biology|November 4, 2016
KDSNP: A kernel-based approach to detecting high-order SNP interactionsKento Kodama, Hiroto Saigo
Bioinformatics (Oxford, England)|August 19, 2007
Mining complex genotypic features for predicting HIV-1 drug resistanceHiroto Saigo, Takeaki Uno, Koji Tsuda
Proteins|December 2, 2005
Large-scale prediction of disulphide bridges using kernel methods, two-dimensional recursive neural networks, and weighted graph matchingJianlin Cheng, Hiroto Saigo, Pierre Baldi
IEEE/ACM Transactions on Computational Biology and Bioinformatics|January 24, 2017
Structural Class Classification of 3D Protein Structure Based on Multi-View 2D ImagesChendra Hadi Suryanto, Hiroto Saigo, Kazuhiro Fukui
BMC Bioinformatics|May 9, 2006
Optimizing amino acid substitution matrices with a local alignment kernelHiroto Saigo, Jean-Philippe Vert, Tatsuya Akutsu
Scientific Reports|April 22, 2022
Einstein-Roscoe regression for the slag viscosity prediction problem in steelmakingHiroto Saigo, Dukka B Kc, Noritaka Saito
Journal of Chemical Information and Modeling|April 22, 2011
Extracting sets of chemical substructures and protein domains governing drug-target interactionsYoshihiro Yamanishi, Edouard Pauwels, Hiroto Saigo, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|July 11, 2018
RF-NR: Random Forest Based Approach for Improved Classification of Nuclear ReceptorsHamid D Ismail, Hiroto Saigo, Dukka B Kc
Journal of Chemical Information and Modeling|November 10, 2015
Mining Discriminative Patterns from Graph Data with Multiple Labels and Its Application to Quantitative Structure-Activity Relationship (QSAR) ModelsZheng Shao, Yuya Hirayama, Yoshihiro Yamanishi, 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.
Pageof 3

Showing results (1-10 of 23) with videos related to

Sort By:
Pageof 3
Journal of Bioinformatics and Computational Biology|November 4, 2016
KDSNP: A kernel-based approach to detecting high-order SNP interactionsKento Kodama, Hiroto Saigo
Bioinformatics (Oxford, England)|August 19, 2007
Mining complex genotypic features for predicting HIV-1 drug resistanceHiroto Saigo, Takeaki Uno, Koji Tsuda
Proteins|December 2, 2005
Large-scale prediction of disulphide bridges using kernel methods, two-dimensional recursive neural networks, and weighted graph matchingJianlin Cheng, Hiroto Saigo, Pierre Baldi
IEEE/ACM Transactions on Computational Biology and Bioinformatics|January 24, 2017
Structural Class Classification of 3D Protein Structure Based on Multi-View 2D ImagesChendra Hadi Suryanto, Hiroto Saigo, Kazuhiro Fukui
BMC Bioinformatics|May 9, 2006
Optimizing amino acid substitution matrices with a local alignment kernelHiroto Saigo, Jean-Philippe Vert, Tatsuya Akutsu
Scientific Reports|April 22, 2022
Einstein-Roscoe regression for the slag viscosity prediction problem in steelmakingHiroto Saigo, Dukka B Kc, Noritaka Saito
Journal of Chemical Information and Modeling|April 22, 2011
Extracting sets of chemical substructures and protein domains governing drug-target interactionsYoshihiro Yamanishi, Edouard Pauwels, Hiroto Saigo, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|July 11, 2018
RF-NR: Random Forest Based Approach for Improved Classification of Nuclear ReceptorsHamid D Ismail, Hiroto Saigo, Dukka B Kc
Journal of Chemical Information and Modeling|November 10, 2015
Mining Discriminative Patterns from Graph Data with Multiple Labels and Its Application to Quantitative Structure-Activity Relationship (QSAR) ModelsZheng Shao, Yuya Hirayama, Yoshihiro Yamanishi, 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.
Pageof 3