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Plos One
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May 18, 2022
Xprediction: Explainable EGFR-TKIs response prediction based on drug sensitivity specific gene networks
Heewon Park, Rui Yamaguchi, Seiya Imoto, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|
January 24, 2022
Uncovering Molecular Mechanisms of Drug Resistance via Network-Constrained Common Structure Identification
Heewon Park, Rui Yamaguchi, Seiya Imoto, et al.
Frontiers in Artificial Intelligence
|
June 1, 2026
Explaining hidden mechanisms: a generative model for causal graphs with nonlinear latent factors
Koji Maruhashi, Heewon Park, Rui Yamaguchi, et al.
Plos Computational Biology
|
October 11, 2021
Enhancing breakpoint resolution with deep segmentation model: A general refinement method for read-depth based structural variant callers
Yao-Zhong Zhang, Seiya Imoto, Satoru Miyano, et al.
BMC Genomics
|
February 16, 2017
Sequence-specific bias correction for RNA-seq data using recurrent neural networks
Yao-Zhong Zhang, Rui Yamaguchi, Seiya Imoto, et al.
Plos One
|
April 27, 2017
Revealing phenotype-associated functional differences by genome-wide scan of ancient haplotype blocks
Ritsuko Onuki, Rui Yamaguchi, Tetsuo Shibuya, et al.
The Protein Journal
|
January 10, 2012
Halophilic properties of metal binding protein characterized by high histidine content from Chromohalobacter salexigens DSM3043
Rui Yamaguchi, Tsutomu Arakawa, Hiroko Tokunaga, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|
December 14, 2011
Population model-based inter-diplotype similarity measure for accurate diplotype clustering
Ritsuko Onuki, Ryo Yamada, Rui Yamaguchi, et al.
Genome Informatics. International Conference on Genome Informatics
|
March 19, 2010
A novel meta-analysis approach of cancer transcriptomes reveals prevailing transcriptional networks in cancer cells
Atsushi Niida, Seiya Imoto, Masao Nagasaki, et al.
Bio Systems
|
June 8, 2014
An efficient method of exploring simulation models by assimilating literature and biological observational data
Takanori Hasegawa, Masao Nagasaki, Rui Yamaguchi, et al.
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of 20
Search research articles
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Showing results (11-20 of 198) with videos related to
Sort By:
Page
of 20
Plos One
|
May 18, 2022
Xprediction: Explainable EGFR-TKIs response prediction based on drug sensitivity specific gene networks
Heewon Park, Rui Yamaguchi, Seiya Imoto, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|
January 24, 2022
Uncovering Molecular Mechanisms of Drug Resistance via Network-Constrained Common Structure Identification
Heewon Park, Rui Yamaguchi, Seiya Imoto, et al.
Frontiers in Artificial Intelligence
|
June 1, 2026
Explaining hidden mechanisms: a generative model for causal graphs with nonlinear latent factors
Koji Maruhashi, Heewon Park, Rui Yamaguchi, et al.
Plos Computational Biology
|
October 11, 2021
Enhancing breakpoint resolution with deep segmentation model: A general refinement method for read-depth based structural variant callers
Yao-Zhong Zhang, Seiya Imoto, Satoru Miyano, et al.
BMC Genomics
|
February 16, 2017
Sequence-specific bias correction for RNA-seq data using recurrent neural networks
Yao-Zhong Zhang, Rui Yamaguchi, Seiya Imoto, et al.
Plos One
|
April 27, 2017
Revealing phenotype-associated functional differences by genome-wide scan of ancient haplotype blocks
Ritsuko Onuki, Rui Yamaguchi, Tetsuo Shibuya, et al.
The Protein Journal
|
January 10, 2012
Halophilic properties of metal binding protein characterized by high histidine content from Chromohalobacter salexigens DSM3043
Rui Yamaguchi, Tsutomu Arakawa, Hiroko Tokunaga, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|
December 14, 2011
Population model-based inter-diplotype similarity measure for accurate diplotype clustering
Ritsuko Onuki, Ryo Yamada, Rui Yamaguchi, et al.
Genome Informatics. International Conference on Genome Informatics
|
March 19, 2010
A novel meta-analysis approach of cancer transcriptomes reveals prevailing transcriptional networks in cancer cells
Atsushi Niida, Seiya Imoto, Masao Nagasaki, et al.
Bio Systems
|
June 8, 2014
An efficient method of exploring simulation models by assimilating literature and biological observational data
Takanori Hasegawa, Masao Nagasaki, Rui Yamaguchi, et al.
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of 20