Resultados de procura - Jun Sese

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  1. 1
    Mutual information estimation reveals global associations between stimuli and biological processes

    Mutual information estimation reveals global associations between stimuli and biological processes por Taiji Suzuki, Masashi Sugiyama, Takafumi Kanamori, Jun Sese

    Publicado 2009
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  2. 2
    Statistical significance of combinatorial regulations

    Statistical significance of combinatorial regulations por Aika Terada, Mariko Okada, Koji Tsuda, Jun Sese

    Publicado 2013
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  3. 3
    A large-scale full-length cDNA analysis to explore the budding yeast transcriptome

    A large-scale full-length cDNA analysis to explore the budding yeast transcriptome por Fumihito Miura, Noriko Kawaguchi, Jun Sese, Atsushi Toyoda, Masahira Hattori, Shinichi Morishita, Takashi Ito

    Publicado 2006
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  4. 4
    Genome assembly and annotation of<i>Arabidopsis halleri</i>, a model for heavy metal hyperaccumulation and evolutionary ecology

    Genome assembly and annotation of<i>Arabidopsis halleri</i>, a model for heavy metal hyperaccumulation and evolutionary ecology por Roman Briskine, Timothy Paape, Rie Shimizu‐Inatsugi, Tomoaki Nishiyama, Satoru Akama, Jun Sese, Kentaro K. Shimizu

    Publicado 2016
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  5. 5
    Ch <scp>IP</scp> ‐Atlas: a data‐mining suite powered by full integration of public Ch <scp>IP</scp> ‐seq data

    Ch <scp>IP</scp> ‐Atlas: a data‐mining suite powered by full integration of public Ch <scp>IP</scp> ‐seq data por Shinya Oki, Tazro Ohta, Go Shioi, Hideki Hatanaka, Osamu Ogasawara, Yoshihiro Okuda, Hideya Kawaji, Ryo Nakaki, Jun Sese, Chikara Meno

    Publicado 2018
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  6. 6
    Uncovering Prognosis-Related Genes and Pathways by Multi-Omics Analysis in Lung Cancer

    Uncovering Prognosis-Related Genes and Pathways by Multi-Omics Analysis in Lung Cancer por Ken Asada, Kazuma Kobayashi, Samuel Joutard, Masashi Tubaki, Satoshi Takahashi, Ken Takasawa, Masaaki Komatsu, Syuzo Kaneko, Jun Sese, Ryuji Hamamoto

    Publicado 2020
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  7. 7
    Development of a real-time endoscopic image diagnosis support system using deep learning technology in colonoscopy

    Development of a real-time endoscopic image diagnosis support system using deep learning technology in colonoscopy por Masayoshi Yamada, Yutaka Saito, Hitoshi Imaoka, Masahiro Saiko, Shigemi Yamada, Hiroko Kondo, Hiroyuki Takamaru, Taku Sakamoto, Jun Sese, Aya Kuchiba, Taro Shibata, Ryuji Hamamoto

    Publicado 2019
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  8. 8
    Predicting Deep Learning Based Multi-Omics Parallel Integration Survival Subtypes in Lung Cancer Using Reverse Phase Protein Array Data

    Predicting Deep Learning Based Multi-Omics Parallel Integration Survival Subtypes in Lung Cancer Using Reverse Phase Protein Array Data por Satoshi Takahashi, Ken Asada, Ken Takasawa, Ryo Shimoyama, Akira Sakai, Amina Bolatkan, Norio Shinkai, Kazuma Kobayashi, Masaaki Komatsu, Syuzo Kaneko, Jun Sese, Ryuji Hamamoto

    Publicado 2020
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  9. 9
    Identification and Characterization of the Potential Promoter Regions of 1031 Kinds of Human Genes

    Identification and Characterization of the Potential Promoter Regions of 1031 Kinds of Human Genes por Yutaka Suzuki, Tatsuhiko Tsunoda, Jun Sese, Hirotoshi Taira, Junko Mizushima‐Sugano, Hiroko Hata, Toshio Ota, Takao Isogai, Toshihiro Tanaka, Yusuke Nakamura, Akira Suyama, Yoshiyuki Sakaki, Shinichi Morishita, Kousaku Okubo, Sumio Sugano

    Publicado 2001
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  10. 10
    Identification and Characterization of the Potential Promoter Regions of 1031 Kinds of Human Genes

    Identification and Characterization of the Potential Promoter Regions of 1031 Kinds of Human Genes por Yutaka Suzuki, Tatsuhiko Tsunoda, Jun Sese, Hirotoshi Taira, Junko Mizushima‐Sugano, Hiroko Hata, Toshiyuki Ota, Takao Isogai, Toshihiro Tanaka, Yoshihiko Nakamura, Akira Suyama, Yoshiyuki Sakaki, Shinichi Morishita, Kousaku Okubo, Sumio Sugano

    Publicado 2001
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  11. 11
    Application of Artificial Intelligence Technology in Oncology: Towards the Establishment of Precision Medicine

    Application of Artificial Intelligence Technology in Oncology: Towards the Establishment of Precision Medicine por Ryuji Hamamoto, Kruthi Suvarna, Masayoshi Yamada, Kazuma Kobayashi, Norio Shinkai, Mototaka Miyake, Masamichi Takahashi, Shunichi Jinnai, Ryo Shimoyama, Akira Sakai, Ken Takasawa, Amina Bolatkan, Kanto Shozu, Ai Dozen, Hidenori Machino, Satoshi Takahashi, Ken Asada, Masaaki Komatsu, Jun Sese, Syuzo Kaneko

    Publicado 2020
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  12. 12
    Sequencing of the genus Arabidopsis identifies a complex history of nonbifurcating speciation and abundant trans-specific polymorphism

    Sequencing of the genus Arabidopsis identifies a complex history of nonbifurcating speciation and abundant trans-specific polymorphism por Polina Novikova, Nora Hohmann, Viktoria Nizhynska, Takashi Tsuchimatsu, Jamshaid Ali, Graham Muir, Alessia Guggisberg, Timothy Paape, Karl Schmid, О. М. Федоренко, Svante Holm, Torbjörn Säll, Christian Schlötterer, Karol Marhold, Alex Widmer, Jun Sese, Kentaro K. Shimizu, Detlef Weigel, Ute Krämer, Мarcus A. Koch, Magnus Nordborg

    Publicado 2016
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  13. 13
    High-dimensional and large-scale phenotyping of yeast mutants

    High-dimensional and large-scale phenotyping of yeast mutants por Yoshikazu Ohya, Jun Sese, Masashi Yukawa, F. Sano, Yoichiro Nakatani, Taro Saito, Ayaka Saka, Tomoyuki Fukuda, Satoru Ishihara, Satomi Oka, Genjiro Suzuki, Machika Watanabe, Aiko Hirata, Miwaka Ohtani, Hiroshi Sawai, Nicolas Fraysse, Jean‐Paul Latgé, Jean François, Markus Aebi, Seiji Tanaka, Sachiko Muramatsu, Hiroyuki Araki, Kintake Sonoike, Satoru Nogami, Shinichi Morishita

    Publicado 2005
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  14. 14
    Fine-Tuning Approach for Segmentation of Gliomas in Brain Magnetic Resonance Images with a Machine Learning Method to Normalize Image Differences among Facilities

    Fine-Tuning Approach for Segmentation of Gliomas in Brain Magnetic Resonance Images with a Machine Learning Method to Normalize Image Differences among Facilities por Satoshi Takahashi, Masamichi Takahashi, Manabu Kinoshita, Mototaka Miyake, Risa Karakida Kawaguchi, Naoki Shinojima, Akitake Mukasa, Kuniaki Saito, Motoo Nagane, Ryohei Otani, Fumi Higuchi, Shota Tanaka, Nobuhiro Hata, Kaoru Tamura, Kensuke Tateishi, Ryo Nishikawa, Hideyuki Arita, Masahiro Nonaka, Takehiro Uda, Junya Fukai, Yoshiko Okita, Naohiro Tsuyuguchi, Yonehiro Kanemura, Kazuma Kobayashi, Jun Sese, Koichi Ichimura, Yoshitaka Narita, Ryuji Hamamoto

    Publicado 2021
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