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Ryosuke Kojima

Showing results (21-30 of 97) with videos related to

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Journal of Chemical Information and Modeling|July 17, 2023
Improving Compound-Protein Interaction Prediction by Self-Training with Augmenting Negative SamplesTakuto Koyama, Shigeyuki Matsumoto, Hiroaki Iwata, et al.
Brain Research. Developmental Brain Research|July 12, 2003
Transient muscarinic calcium mobilisation in transdifferentiating as in reaggregating embryonic chick retinaeHidenori Naruoka, Ryosuke Kojima, Motoko Ohmasa, et al.
Journal of Chemical Information and Modeling|November 22, 2023
VGAE-MCTS: A New Molecular Generative Model Combining the Variational Graph Auto-Encoder and Monte Carlo Tree SearchHiroaki Iwata, Taichi Nakai, Takuto Koyama, et al.
Journal of the American Chemical Society|November 23, 2020
Multicolor Activatable Raman Probes for Simultaneous Detection of Plural Enzyme ActivitiesHiroyoshi Fujioka, Jingwen Shou, Ryosuke Kojima, et al.
Analytical Chemistry|July 7, 2022
Droplet Array-Based Platform for Parallel Optical Analysis of Dynamic Extracellular Vesicle Secretion from Single CellsKazuki Hattori, Yuki Goda, Minato Yamashita, et al.
Analytical Chemistry|May 25, 2016
Confocal Bioluminescence Imaging for Living Tissues with a Caged Substrate of LuciferinMitsuru Hattori, Genki Kawamura, Ryosuke Kojima, et al.
Computer Methods and Programs in Biomedicine|May 21, 2021
Prediction and visualization of acute kidney injury in intensive care unit using one-dimensional convolutional neural networks based on routinely collected dataNoriaki Sato, Eiichiro Uchino, Ryosuke Kojima, et al.
Angewandte Chemie (International Ed. in English)|December 6, 2012
Rational design and development of near-infrared-emitting firefly luciferins available in vivoRyosuke Kojima, Hideo Takakura, Takeaki Ozawa, et al.
Journal of Cheminformatics|January 12, 2021
kGCN: a graph-based deep learning framework for chemical structuresRyosuke Kojima, Shoichi Ishida, Masateru Ohta, et al.
The Journal of Toxicological Sciences|March 3, 2024
Developing a GNN-based AI model to predict mitochondrial toxicity using the bagging methodYoshinobu Igarashi, Ryosuke Kojima, Shigeyuki Matsumoto, et al.
Pageof 10

Showing results (21-30 of 97) with videos related to

Sort By:
Pageof 10
Journal of Chemical Information and Modeling|July 17, 2023
Improving Compound-Protein Interaction Prediction by Self-Training with Augmenting Negative SamplesTakuto Koyama, Shigeyuki Matsumoto, Hiroaki Iwata, et al.
Brain Research. Developmental Brain Research|July 12, 2003
Transient muscarinic calcium mobilisation in transdifferentiating as in reaggregating embryonic chick retinaeHidenori Naruoka, Ryosuke Kojima, Motoko Ohmasa, et al.
Journal of Chemical Information and Modeling|November 22, 2023
VGAE-MCTS: A New Molecular Generative Model Combining the Variational Graph Auto-Encoder and Monte Carlo Tree SearchHiroaki Iwata, Taichi Nakai, Takuto Koyama, et al.
Journal of the American Chemical Society|November 23, 2020
Multicolor Activatable Raman Probes for Simultaneous Detection of Plural Enzyme ActivitiesHiroyoshi Fujioka, Jingwen Shou, Ryosuke Kojima, et al.
Analytical Chemistry|July 7, 2022
Droplet Array-Based Platform for Parallel Optical Analysis of Dynamic Extracellular Vesicle Secretion from Single CellsKazuki Hattori, Yuki Goda, Minato Yamashita, et al.
Analytical Chemistry|May 25, 2016
Confocal Bioluminescence Imaging for Living Tissues with a Caged Substrate of LuciferinMitsuru Hattori, Genki Kawamura, Ryosuke Kojima, et al.
Computer Methods and Programs in Biomedicine|May 21, 2021
Prediction and visualization of acute kidney injury in intensive care unit using one-dimensional convolutional neural networks based on routinely collected dataNoriaki Sato, Eiichiro Uchino, Ryosuke Kojima, et al.
Angewandte Chemie (International Ed. in English)|December 6, 2012
Rational design and development of near-infrared-emitting firefly luciferins available in vivoRyosuke Kojima, Hideo Takakura, Takeaki Ozawa, et al.
Journal of Cheminformatics|January 12, 2021
kGCN: a graph-based deep learning framework for chemical structuresRyosuke Kojima, Shoichi Ishida, Masateru Ohta, et al.
The Journal of Toxicological Sciences|March 3, 2024
Developing a GNN-based AI model to predict mitochondrial toxicity using the bagging methodYoshinobu Igarashi, Ryosuke Kojima, Shigeyuki Matsumoto, et al.
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