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Yoshihiro Yamanishi

Showing results (1-10 of 109) with videos related to

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Molecular Informatics|August 3, 2016
Inferring Chemogenomic Features from Drug-Target Interaction NetworksYoshihiro Yamanishi
Methods in Molecular Biology (Clifton, N.J.)|July 22, 2018
Sparse Modeling to Analyze Drug-Target Interaction NetworksYoshihiro Yamanishi
Methods in Molecular Biology (Clifton, N.J.)|November 30, 2012
Chemogenomic approaches to infer drug-target interaction networksYoshihiro Yamanishi
Methods in Molecular Biology (Clifton, N.J.)|October 19, 2018
Linear and Kernel Model Construction Methods for Predicting Drug-Target Interactions in a Chemogenomic FrameworkYoshihiro Yamanishi
Methods in Molecular Biology (Clifton, N.J.)|December 7, 2018
The Use of Large-Scale Chemically-Induced Transcriptome Data Acquired from LINCS to Study Small MoleculesMichio Iwata, Yoshihiro Yamanishi
Journal of Chemical Information and Modeling|February 21, 2022
Scaffold-Retained Structure Generator to Exhaustively Create Molecules in an Arbitrary Chemical SpaceKazuma Kaitoh, Yoshihiro Yamanishi
BMC Systems Biology|February 26, 2014
Scalable prediction of compound-protein interactions using minwise hashingYasuo Tabei, Yoshihiro Yamanishi
Journal of Chemical Information and Modeling|September 16, 2021
TRIOMPHE: Transcriptome-Based Inference and Generation of Molecules with Desired Phenotypes by Machine LearningKazuma Kaitoh, Yoshihiro Yamanishi
Journal of Chemical Information and Modeling|December 21, 2018
A Distance-Based Boolean Applicability Domain for Classification of High Throughput Screening DataFrancois Berenger, Yoshihiro Yamanishi
Journal of Chemical Information and Modeling|April 14, 2020
Ranking Molecules with Vanishing Kernels and a Single Parameter: Active Applicability Domain <i>Included</i>Francois Berenger, Yoshihiro Yamanishi
Pageof 11

Showing results (1-10 of 109) with videos related to

Sort By:
Pageof 11
Molecular Informatics|August 3, 2016
Inferring Chemogenomic Features from Drug-Target Interaction NetworksYoshihiro Yamanishi
Methods in Molecular Biology (Clifton, N.J.)|July 22, 2018
Sparse Modeling to Analyze Drug-Target Interaction NetworksYoshihiro Yamanishi
Methods in Molecular Biology (Clifton, N.J.)|November 30, 2012
Chemogenomic approaches to infer drug-target interaction networksYoshihiro Yamanishi
Methods in Molecular Biology (Clifton, N.J.)|October 19, 2018
Linear and Kernel Model Construction Methods for Predicting Drug-Target Interactions in a Chemogenomic FrameworkYoshihiro Yamanishi
Methods in Molecular Biology (Clifton, N.J.)|December 7, 2018
The Use of Large-Scale Chemically-Induced Transcriptome Data Acquired from LINCS to Study Small MoleculesMichio Iwata, Yoshihiro Yamanishi
Journal of Chemical Information and Modeling|February 21, 2022
Scaffold-Retained Structure Generator to Exhaustively Create Molecules in an Arbitrary Chemical SpaceKazuma Kaitoh, Yoshihiro Yamanishi
BMC Systems Biology|February 26, 2014
Scalable prediction of compound-protein interactions using minwise hashingYasuo Tabei, Yoshihiro Yamanishi
Journal of Chemical Information and Modeling|September 16, 2021
TRIOMPHE: Transcriptome-Based Inference and Generation of Molecules with Desired Phenotypes by Machine LearningKazuma Kaitoh, Yoshihiro Yamanishi
Journal of Chemical Information and Modeling|December 21, 2018
A Distance-Based Boolean Applicability Domain for Classification of High Throughput Screening DataFrancois Berenger, Yoshihiro Yamanishi
Journal of Chemical Information and Modeling|April 14, 2020
Ranking Molecules with Vanishing Kernels and a Single Parameter: Active Applicability Domain <i>Included</i>Francois Berenger, Yoshihiro Yamanishi
Pageof 11