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Yuichi Shiraishi

Showing results (1-10 of 213) with videos related to

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Bioinformatics (Oxford, England)|March 13, 2010
Inferring cluster-based networks from differently stimulated multiple time-course gene expression dataYuichi Shiraishi, Shuhei Kimura, Mariko Okada
Bioinformatics (Oxford, England)|June 25, 2011
A rank-based statistical test for measuring synergistic effects between two gene setsYuichi Shiraishi, Mariko Okada-Hatakeyama, Satoru Miyano
Molecular Genetics and Metabolism Reports|November 6, 2019
Effectiveness of integrated interpretation of exome and corresponding transcriptome data for detecting splicing variants of genes associated with autosomal recessive disordersMamiko Yamada, Hisato Suzuki, Yuichi Shiraishi, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|May 11, 2016
A Novel Adaptive Penalized Logistic Regression for Uncovering Biomarker Associated with Anti-Cancer Drug SensitivityHeewon Park, Yuichi Shiraishi, Seiya Imoto, et al.
Plos Genetics|December 3, 2015
A Simple Model-Based Approach to Inferring and Visualizing Cancer Mutation SignaturesYuichi Shiraishi, Georg Tremmel, Satoru Miyano, et al.
Bioinformatics (Oxford, England)|December 3, 2025
mm2-ivh: simple and precise overlap detection in alpha satellite HORs with interval hashingHajime Suzuki, Masahiro Sugawa, Yoshitaka Sakamoto, et al.
BMC Bioinformatics|March 1, 2012
ClipCrop: a tool for detecting structural variations with single-base resolution using soft-clipping informationShin Suzuki, Tomohiro Yasuda, Yuichi Shiraishi, et al.
Bioinformatics (Oxford, England)|March 30, 2019
A Bayesian model integration for mutation calling through data partitioningTakuya Moriyama, Seiya Imoto, Shuto Hayashi, et al.
IEEE Transactions on Nanobioscience|March 10, 2017
OVarCall: Bayesian Mutation Calling Method Utilizing Overlapping Paired-End ReadsTakuya Moriyama, Yuichi Shiraishi, Kenichi Chiba, et al.
Nature Communications|January 9, 2025
Systematically developing a registry of splice-site creating variants utilizing massive publicly available transcriptome sequence dataNaoko Iida, Ai Okada, Yoshihisa Kobayashi, et al.
Pageof 22

Showing results (1-10 of 213) with videos related to

Sort By:
Pageof 22
Bioinformatics (Oxford, England)|March 13, 2010
Inferring cluster-based networks from differently stimulated multiple time-course gene expression dataYuichi Shiraishi, Shuhei Kimura, Mariko Okada
Bioinformatics (Oxford, England)|June 25, 2011
A rank-based statistical test for measuring synergistic effects between two gene setsYuichi Shiraishi, Mariko Okada-Hatakeyama, Satoru Miyano
Molecular Genetics and Metabolism Reports|November 6, 2019
Effectiveness of integrated interpretation of exome and corresponding transcriptome data for detecting splicing variants of genes associated with autosomal recessive disordersMamiko Yamada, Hisato Suzuki, Yuichi Shiraishi, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|May 11, 2016
A Novel Adaptive Penalized Logistic Regression for Uncovering Biomarker Associated with Anti-Cancer Drug SensitivityHeewon Park, Yuichi Shiraishi, Seiya Imoto, et al.
Plos Genetics|December 3, 2015
A Simple Model-Based Approach to Inferring and Visualizing Cancer Mutation SignaturesYuichi Shiraishi, Georg Tremmel, Satoru Miyano, et al.
Bioinformatics (Oxford, England)|December 3, 2025
mm2-ivh: simple and precise overlap detection in alpha satellite HORs with interval hashingHajime Suzuki, Masahiro Sugawa, Yoshitaka Sakamoto, et al.
BMC Bioinformatics|March 1, 2012
ClipCrop: a tool for detecting structural variations with single-base resolution using soft-clipping informationShin Suzuki, Tomohiro Yasuda, Yuichi Shiraishi, et al.
Bioinformatics (Oxford, England)|March 30, 2019
A Bayesian model integration for mutation calling through data partitioningTakuya Moriyama, Seiya Imoto, Shuto Hayashi, et al.
IEEE Transactions on Nanobioscience|March 10, 2017
OVarCall: Bayesian Mutation Calling Method Utilizing Overlapping Paired-End ReadsTakuya Moriyama, Yuichi Shiraishi, Kenichi Chiba, et al.
Nature Communications|January 9, 2025
Systematically developing a registry of splice-site creating variants utilizing massive publicly available transcriptome sequence dataNaoko Iida, Ai Okada, Yoshihisa Kobayashi, et al.
Pageof 22