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Rui Yamaguchi

Showing results (1-10 of 198) with videos related to

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Gan to Kagaku Ryoho. Cancer & Chemotherapy|December 16, 2021
[A Future Perspective on Cancer Precision Medicine Accelerated by AI and Data Science]Rui Yamaguchi, Hiroshi Yasui
Frontiers in Bioinformatics|January 2, 2023
Machine learning methods for protein-protein binding affinity prediction in protein designZhongliang Guo, Rui Yamaguchi
International Journal of Data Mining and Bioinformatics|April 12, 2008
State-space approach with the maximum likelihood principle to identify the system generating time-course gene expression data of yeastRui Yamaguchi, Tomoyuki Higuchi
Bioinformatics (Oxford, England)|July 15, 2025
RVINN: a flexible modeling for inferring dynamic transcriptional and post-transcriptional regulation using physics-informed neural networksOsamu Muto, Zhongliang Guo, Rui Yamaguchi
Nutrition Reviews|December 1, 2020
Data science and precision health careSeiya Imoto, Takanori Hasegawa, Rui Yamaguchi
BMC Genomics|July 10, 2009
Exploring temporal transcription regulation structure of Aspergillus fumigatus in heat shock by state space modelJin Hwan Do, Rui Yamaguchi, Satoru Miyano
Current Protein & Peptide Science|June 21, 2016
Unique Features of Halophilic ProteinsTsutomu Arakawa, Rui Yamaguchi, Hiroko Tokunaga, et al.
International Journal of Biological Macromolecules|September 30, 2010
High solubility supports efficient refolding of thermally unfolded β-lactamaseTsutomu Arakawa, Hiroko Tokunaga, Rui Yamaguchi, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|August 1, 2013
Multi-omics approach for estimating metabolic networks using low-order partial correlationsMitsunori Kayano, Seiya Imoto, Rui Yamaguchi, et al.
Genome Informatics. International Conference on Genome Informatics|June 12, 2008
Weighted lasso in graphical Gaussian modeling for large gene network estimation based on microarray dataTeppei Shimamura, Seiya Imoto, Rui Yamaguchi, et al.
Pageof 20

Showing results (1-10 of 198) with videos related to

Sort By:
Pageof 20
Gan to Kagaku Ryoho. Cancer & Chemotherapy|December 16, 2021
[A Future Perspective on Cancer Precision Medicine Accelerated by AI and Data Science]Rui Yamaguchi, Hiroshi Yasui
Frontiers in Bioinformatics|January 2, 2023
Machine learning methods for protein-protein binding affinity prediction in protein designZhongliang Guo, Rui Yamaguchi
International Journal of Data Mining and Bioinformatics|April 12, 2008
State-space approach with the maximum likelihood principle to identify the system generating time-course gene expression data of yeastRui Yamaguchi, Tomoyuki Higuchi
Bioinformatics (Oxford, England)|July 15, 2025
RVINN: a flexible modeling for inferring dynamic transcriptional and post-transcriptional regulation using physics-informed neural networksOsamu Muto, Zhongliang Guo, Rui Yamaguchi
Nutrition Reviews|December 1, 2020
Data science and precision health careSeiya Imoto, Takanori Hasegawa, Rui Yamaguchi
BMC Genomics|July 10, 2009
Exploring temporal transcription regulation structure of Aspergillus fumigatus in heat shock by state space modelJin Hwan Do, Rui Yamaguchi, Satoru Miyano
Current Protein & Peptide Science|June 21, 2016
Unique Features of Halophilic ProteinsTsutomu Arakawa, Rui Yamaguchi, Hiroko Tokunaga, et al.
International Journal of Biological Macromolecules|September 30, 2010
High solubility supports efficient refolding of thermally unfolded β-lactamaseTsutomu Arakawa, Hiroko Tokunaga, Rui Yamaguchi, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|August 1, 2013
Multi-omics approach for estimating metabolic networks using low-order partial correlationsMitsunori Kayano, Seiya Imoto, Rui Yamaguchi, et al.
Genome Informatics. International Conference on Genome Informatics|June 12, 2008
Weighted lasso in graphical Gaussian modeling for large gene network estimation based on microarray dataTeppei Shimamura, Seiya Imoto, Rui Yamaguchi, et al.
Pageof 20