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Rui Yamaguchi

Showing results (81-90 of 198) with videos related to

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Genome Informatics. International Conference on Genome Informatics|November 15, 2011
Comparison of gene expression profiles produced by CAGE, illumina microarray and real time RT-PCRAndré Fujita, Masao Nagasaki, Seiya Imoto, et al.
Genome Informatics. International Conference on Genome Informatics|May 16, 2007
Genomic data assimilation for estimating hybrid functional Petri net from time-course gene expression dataMasao Nagasaki, Rui Yamaguchi, Ryo Yoshida, et al.
Genome Informatics. International Conference on Genome Informatics|November 15, 2011
Collocation-based sparse estimation for constructing dynamic gene networksTeppei Shimamura, Seiya Imoto, Masao Nagasaki, et al.
Bioinformatics (Oxford, England)|February 23, 2008
Statistical inference of transcriptional module-based gene networks from time course gene expression profiles by using state space modelsOsamu Hirose, Ryo Yoshida, Seiya Imoto, et al.
Plos One|December 13, 2012
Forecasting Japan's physician shortage in 2035 as the first full-fledged aged societyKoichiro Yuji, Seiya Imoto, Rui Yamaguchi, et al.
BMC Systems Biology|December 6, 2008
Multivariate gene expression analysis reveals functional connectivity changes between normal/tumoral prostatesAndré Fujita, Luciana Rodrigues Gomes, João Ricardo Sato, et al.
Annals of Hematology|September 29, 2017
Phenotype-based gene analysis allowed successful diagnosis of X-linked neutropenia associated with a novel WASp mutationMasayuki Kobayashi, Kazuaki Yokoyama, Eigo Shimizu, et al.
BMC Medical Informatics and Decision Making|September 14, 2016
Predicting Japanese Kampo formulas by analyzing database of medical records: a preliminary observational studyTetsuhiro Yoshino, Kotoe Katayama, Yuko Horiba, et al.
Bioinformatics (Oxford, England)|October 30, 2020
Neoantimon: a multifunctional R package for identification of tumor-specific neoantigensTakanori Hasegawa, Shuto Hayashi, Eigo Shimizu, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|March 21, 2012
Identifying gene pathways associated with cancer characteristics via sparse statistical methodsShuichi Kawano, Teppei Shimamura, Atsushi Niida, et al.
Pageof 20

Showing results (81-90 of 198) with videos related to

Sort By:
Pageof 20
Genome Informatics. International Conference on Genome Informatics|November 15, 2011
Comparison of gene expression profiles produced by CAGE, illumina microarray and real time RT-PCRAndré Fujita, Masao Nagasaki, Seiya Imoto, et al.
Genome Informatics. International Conference on Genome Informatics|May 16, 2007
Genomic data assimilation for estimating hybrid functional Petri net from time-course gene expression dataMasao Nagasaki, Rui Yamaguchi, Ryo Yoshida, et al.
Genome Informatics. International Conference on Genome Informatics|November 15, 2011
Collocation-based sparse estimation for constructing dynamic gene networksTeppei Shimamura, Seiya Imoto, Masao Nagasaki, et al.
Bioinformatics (Oxford, England)|February 23, 2008
Statistical inference of transcriptional module-based gene networks from time course gene expression profiles by using state space modelsOsamu Hirose, Ryo Yoshida, Seiya Imoto, et al.
Plos One|December 13, 2012
Forecasting Japan's physician shortage in 2035 as the first full-fledged aged societyKoichiro Yuji, Seiya Imoto, Rui Yamaguchi, et al.
BMC Systems Biology|December 6, 2008
Multivariate gene expression analysis reveals functional connectivity changes between normal/tumoral prostatesAndré Fujita, Luciana Rodrigues Gomes, João Ricardo Sato, et al.
Annals of Hematology|September 29, 2017
Phenotype-based gene analysis allowed successful diagnosis of X-linked neutropenia associated with a novel WASp mutationMasayuki Kobayashi, Kazuaki Yokoyama, Eigo Shimizu, et al.
BMC Medical Informatics and Decision Making|September 14, 2016
Predicting Japanese Kampo formulas by analyzing database of medical records: a preliminary observational studyTetsuhiro Yoshino, Kotoe Katayama, Yuko Horiba, et al.
Bioinformatics (Oxford, England)|October 30, 2020
Neoantimon: a multifunctional R package for identification of tumor-specific neoantigensTakanori Hasegawa, Shuto Hayashi, Eigo Shimizu, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|March 21, 2012
Identifying gene pathways associated with cancer characteristics via sparse statistical methodsShuichi Kawano, Teppei Shimamura, Atsushi Niida, et al.
Pageof 20