Kentaro Shimizu - researchr alias

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Viewing Publication 1 - 54 from 54

2022

Feedback-AVPGAN: Feedback-guided generative adversarial network for generating antiviral peptidesKano Hasegawa, Yoshitaka Moriwaki, Tohru Terada, Cao Wei, Kentaro Shimizu. jbcb, 20(6), December 2022. [doi]

Prediction of protein mononucleotide binding sites using AlphaFold2 and machine learningShohei Yamaguchi, Haruka Nakashima, Yoshitaka Moriwaki, Tohru Terada, Kentaro Shimizu. CANDC, 100:107744, 2022. [doi]

2021

Differential expression analysis using a model-based gene clustering algorithm for RNA-seq dataTakayuki Osabe, Kentaro Shimizu, Koji Kadota. bmcbi, 22(1):511, 2021. [doi]

EXPRORER: Rational Cosolvent Set Construction Method for Cosolvent Molecular Dynamics Using Large-Scale ComputationKeisuke Yanagisawa, Yoshitaka Moriwaki, Tohru Terada, Kentaro Shimizu. jcisd, 61(6):2744-2753, 2021. [doi]

2019

Identifying short disorder-to-order binding regions in disordered proteins with a deep convolutional neural network methodChun Fang, Yoshitaka Moriwaki, Aikui Tian, Caihong Li, Kentaro Shimizu. jbcb, 17(1):1950004, 2019. [doi]

MoRFPred_en: Sequence-based prediction of MoRFs using an ensemble learning strategyChun Fang, Yoshitaka Moriwaki, Caihong Li, Kentaro Shimizu. jbcb, 17(6), 2019. [doi]

2017

Development of a sugar-binding residue prediction system from protein sequences using support vector machineMasaki Banno, Yusuke Komiyama, Cao Wei, Yuya Oku, Kokoro Ueki, Kazuya Sumikoshi, Shugo Nakamura, Tohru Terada, Kentaro Shimizu. CANDC, 66:36-43, 2017. [doi]

2016

2015

Evaluation of methods for differential expression analysis on multi-group RNA-seq count dataMin Tang, Jianqiang Sun, Kentaro Shimizu, Koji Kadota. bmcbi, 16:361, 2015. [doi]

Tyrosine Kinase Ligand-Receptor Pair Prediction by Using Support Vector MachineMasayuki Yarimizu, Cao Wei, Yusuke Komiyama, Kokoro Ueki, Shugo Nakamura, Kazuya Sumikoshi, Tohru Terada, Kentaro Shimizu. abi, 2015, 2015. [doi]

2014

Coarse-grained molecular dynamics simulations of protein-ligand bindingTatsuki Negami, Kentaro Shimizu, Tohru Terada. jcc, 35(25):1835-1845, 2014. [doi]

2013

TCC: an R package for comparing tag count data with robust normalization strategiesJianqiang Sun, Tomoaki Nishiyama, Kentaro Shimizu, Koji Kadota. bmcbi, 14:219, 2013. [doi]

Office in the cloud: Web-based cloud platform for Telcos servicesMasafumi Suzuki, Kentaro Shimizu, Shinyo Muto, Naoki Uchida. icin 2013: 39-45 [doi]

2012

A normalization strategy for comparing tag count dataKoji Kadota, Tomoaki Nishiyama, Kentaro Shimizu. almob, 7:5, 2012. [doi]

Office on Demand: New cloud service platform for carrierKentaro Shimizu, Seiji Nishinaga, Shinyo Muto, Naoki Uchida. icin 2012: 15-21 [doi]

2011

Evaluating methods for ranking differentially expressed genes applied to MicroArray Quality Control dataKoji Kadota, Kentaro Shimizu. bmcbi, 12:227, 2011. [doi]

2010

2009

Computational Protocol for Screening GPI-anchored ProteinsWei Cao, Kazuya Sumikoshi, Tohru Terada, Shugo Nakamura, Katsuhiko Kitamoto, Kentaro Shimizu. bicob 2009: 164-175 [doi]

Ranking differentially expressed genes from Affymetrix gene expression data: methods with reproducibility, sensitivity, and specificityKoji Kadota, Yuji Nakai, Kentaro Shimizu. almob, 4, 2009. [doi]

2008

A weighted average difference method for detecting differentially expressed genes from microarray dataKoji Kadota, Yuji Nakai, Kentaro Shimizu. almob, 3, 2008. [doi]

2007

High-Density Surface Reconstruction of Fine Arts and Documents for Complete Reproduction and Counterfeit DetectionJunta Doi, Kentaro Shimizu, Masakazu Sekijima. icnsc 2007: 392-397 [doi]

2006

Identification of GPI-(like)-Anchored Proteins by Using SVMWei Cao, Kentaro Shimizu. imsccs 2006: 711-715 [doi]

Insight of the Signal Motif of GPI-(like)-anchored Proteins by using SVMWei Cao, Kazuya Sumikoshi, Tohru Terada, Shugo Nakamura, Kentaro Shimizu. psb 2006: 541-546

Reuse of reconstructed model of human skull for anthropological and anthropoid morphological model estimationJunta Doi, Kentaro Shimizu, Masahiko Hoshi. iri 2006: 369-374

High-Precision Geometric Modeling of 3D Artifacts for Virtual RestorationJunta Doi, Kentaro Shimizu, Wataru Sato, Shinji Morishita. vecims 2006: 136-141 [doi]

High-Density Scanning Combined with Digital Image of Real Objects for Complete Reproduction of Cultural ArtifactsJunta Doi, Kentaro Shimizu, Wataru Sato. mfi 2006: 341-346 [doi]

ROKU: a novel method for identification of tissue-specific genesKoji Kadota, Jiazhen Ye, Yuji Nakai, Tohru Terada, Kentaro Shimizu. bmcbi, 7:294, 2006. [doi]

2004

Programming Environment Based on Distributed Shared Arrays for High-Performance Scientific ComputingAkira Nomoto, Wataru Kaneko, Tohru Terada, Shugo Nakamura, Kentaro Shimizu. saint 2004: 630-637 [doi]

Distributed Shared Arrays: Portable Shared-Memory Programming Interface for Multiple Computer SystemsAkira Nomoto, Yasuo Watanabe, Wataru Kaneko, Shugo Nakamura, Kentaro Shimizu. cluster, 7(1):65-72, 2004. [doi]

2003

Preemptive Resource Management: Defending against Resource Monopolizing DoSWataru Kaneko, Kenji Kono, Kentaro Shimizu. appinf 2003: 662-669

Design and Implementation of a Parallel Programming Environment Based on Distributed Shared ArraysWataru Kaneko, Akira Nomoto, Yasuo Watanabe, Shugo Nakamura, Kentaro Shimizu. ishpc 2003: 402-411 [doi]

2002

New method for parallel computation of Hessian matrix of conformational energy function in internal coordinatesShugo Nakamura, Daisuke Kyono, Mitsunori Ikeguchi, Kentaro Shimizu. jcc, 23(4):463-469, 2002. [doi]

Automatic Improvement of Scheduling Policies in Parsley Parallel Programming EnvironmentMasakazu Sekijima, Shinya Takasaki, Shugo Nakamura, Kentaro Shimizu. pdcs 2002: 375-380

2001

Access route control by an extended key/lock schemeSoichi Shigeta, Kentaro Shimizu, Masahiro Sowa. csse, 16(5):319-325, 2001.

1999

Prediction of protein structure classes and secondary structures by means of hidden Markov modelsHiroshi Yoshikawa, Mitsunori Ikeguchi, Shugo Nakamura, Kentaro Shimizu, Junta Doi. scjapan, 30(13):13-22, 1999. [doi]

1998

Time-of-Reduction-Recovery Predicton in Neural Networks of Variable Topology to Improve Enzyme ClassificationYasuo Kuhara, Kentaro Shimizu, Junta Doi. nc 1998: 365-370

Parallel algorithm for efficient calculation of second derivatives of conformational energy function in internal coordinatesShugo Nakamura, Mitsunori Ikeguchi, Kentaro Shimizu. jcc, 19(15):1716-1723, 1998. [doi]

1995

Flow Control and Routing Algorithms in WAPSNR. C. Betini, Hisao Kameda, Kentaro Shimizu. comcom, 18(5):345-356, 1995.

A performance comparison of adaptive and static load balancing in heterogeneous distributed systemsYongbing Zhang, Katsuya Hakozaki, Hisao Kameda, Kentaro Shimizu. anss 1995: 332-340 [doi]

1994

A Paraellel and Nonblocking Updating Mechanism for Replicated Directory Files in Distributed SystemsXiaohua Jia, Kentaro Shimizu, Mamoru Maekawa. jpdc, 20(3):330-340, 1994.

Adaptive Bidding Load Balancing Algorithms in Heterogeneous Distributed SystemsYongbing Zhang, Hisao Kameda, Kentaro Shimizu. mascots 1994: 250-254

1992

Improving the Reliability of Name Resolution Mechanism in Distributed Operating SystemsPradeep Kumar Sinha, Mamoru Maekawa, Kentaro Shimizu. icdcs 1992: 589-596

1991

1990

Highly Concurrent Directory Management in the Galaxy Distributed SystemXiaohua Jia, Hirohiko Nakano, Kentaro Shimizu, Mamoru Maekawa. icdcs 1990: 416-423

1989

CPC (Cyclic Pipeline Computer) - An Architecture Suited for Josephson and Pipelined-Memory MachinesKentaro Shimizu, Eiichi Goto, Shuichi Ichikawa. TC, 38(6):825-832, 1989.

1988

Hierarchical Object Groups in Distributed Operating SystemsKentaro Shimizu, Mamoru Maekawa, Jun Hamano. icdcs 1988: 18-24

1984

A Portable Logic Simulation System for Development of FLATS MachineKentaro Shimizu. rims 1986: 62-86

1982

Design of a Lisp Machine - FLATSEiichi Goto, T. Soma, N. Inada, Tetsuo Ida, M. Idesawa, Kei Hiraki, M. Suzuki, Kentaro Shimizu, B. Philipov. lfp 1982: 208-215

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