Hideo Matsuda - researchr alias

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Viewing Publication 1 - 55 from 55

2024

Synthetic model ecosystem of 12 cryopreservable microbial species allowing for a noninvasive approachKazufumi Hosoda, Shigeto Seno, Naomi Murakami, Hideo Matsuda, Yutaka Osada, Rikuto Kamiura, Michio Kondoh. biosystems, 235:105087, January 2024. [doi]

Accurate Detection of Fusion Genes in Long-Read Transcriptome Datasets from Multiple Cancer Cell LinesKeigo Masuda, Yoshiaki Sota, Hideo Matsuda. icbbb 2024: 7-13 [doi]

2023

Cell Tracking via Reinforcement Learning with Microscopic Image SimulatorToru Nagamura, Shigeto Seno, Hironori Shigeta, Tomohiro Mashita, Hideo Matsuda. icbet 2023: 16-22 [doi]

Pseudotime-based Deep Learning of Gene Regulatory Relationships from Single-Cell Expression DataKoki Nishi, Junko Yoshida, Shigeto Seno, Kyoji Horie, Hideo Matsuda. icbet 2023: 56-62 [doi]

2022

Inference of Cell-Cell Communication for Detecting Immune Disease-Associated Signaling Pathways using Single-Cell RNA-seqAkihiro Nomura 0003, Hideo Matsuda. icbbe 2022: 74-80 [doi]

A Novel Method for Fusion Gene Detection using Both End-Fragment Sequences of Long ReadsKeigo Masuda, Yoshiaki Sota, Hideo Matsuda. icbbe 2022: 88-92 [doi]

A Method for Detection of Markers for Epithelial-Mesenchymal Transition based on Single Cell Transcriptomic DataKosho Murayama, Hideo Matsuda. icbbb 2022: 57-62 [doi]

2021

A CNN-based cell tracking method for multi-slice intravital imaging dataKenji Fujimoto, Tsubasa Mizugaki, Utkrisht Rajkumar, Hironori Shigeta, Shigeto Seno, Yutaka Uchida, Masaru Ishii, Vineet Bafna, Hideo Matsuda. bcb 2021: [doi]

2019

Chromatin 3D Reconstruction from Chromosomal Contacts Using a Genetic AlgorithmViacheslav Kapilevich, Shigeto Seno, Hideo Matsuda, Yoichi Takenaka. tcbb, 16(5):1620-1626, 2019. [doi]

Single-cell Transcriptome Analysis of Mouse Leukocytes in Inflammatory StimulationNaoki Osato, Hironori Shigeta, Shigeto Seno, Yutaka Uchida, Junichi Kikuta, Masaru Ishii, Hideo Matsuda. bibm 2019: 1229-1231 [doi]

Analyzing Leukocyte Migration Trajectories by Deformable Image MatchingHironori Shigeta, Shigeto Seno, Shino Nishizawa, Yutaka Uchida, Junichi Kikuta, Masaru Ishii, Hideo Matsuda. bibe 2019: 94-98 [doi]

Improvement of detection performance of fusion genes from RNA-seq data by clustering short readsYoshiaki Sota, Shigeto Seno, Hironori Shigeta, Naoki Osato, Masafumi Shimoda, Shinzaburo Noguchi, Hideo Matsuda. jbcb, 17(3):1940008, 2019. [doi]

2018

2017

Bone marrow cavity segmentation using graph-cuts with wavelet-based texture featureHironori Shigeta, Tomohiro Mashita, Junichi Kikuta, Shigeto Seno, Haruo Takemura, Masaru Ishii, Hideo Matsuda. jbcb, 15(5):1-16, 2017. [doi]

2016

A bone marrow cavity segmentation method using wavelet-based texture featureHironori Shigeta, Tomohiro Mashita, Junichi Kikuta, Shigeto Seno, Haruo Takemura, Hideo Matsuda, Masaru Ishii. icpr 2016: 2133-2138 [doi]

Comparative Analysis of Transformation Methods for Gene Expression Profiles in Breast Cancer DatasetsYoshiaki Sota, Shigeto Seno, Yoichi Takenaka, Shinzaburo Noguchi, Hideo Matsuda. bibe 2016: 328-333 [doi]

2015

Detecting shifts in gene regulatory networks during time-course experiments at single-time-point temporal resolutionYoichi Takenaka, Shigeto Seno, Hideo Matsuda. jbcb, 13(5), 2015. [doi]

2014

2012

An estimation method for inference of gene regulatory net-work using Bayesian network with uniting of partial problemsYukito Watanabe, Shigeto Seno, Yoichi Takenaka, Hideo Matsuda. bmcgenomics, 13(S-1), 2012. [doi]

2009

Gendoo: Functional profiling of gene and disease features using MeSH vocabularyTakeru Nakazato, Hidemasa Bono, Hideo Matsuda, Toshihisa Takagi. nar, 37(Web-Server-Issue):166-169, 2009. [doi]

2008

BioCompass: A Novel Functional Inference Tool that Utilizes MeSH Hierarchy to Analyze Groups of GenesTakeru Nakazato, Toru Takinaka, Hironori Mizuguchi, Hideo Matsuda, Hidemasa Bono, Minoru Asogawa. isb, 8(1):53-61, 2008. [doi]

2007

Tissue-specific functions based on information content of gene ontology using cap analysis gene expressionSami Maekawa, Atsuko Matsumoto, Yoichi Takenaka, Hideo Matsuda. mbec, 45(11):1029-1036, 2007. [doi]

2005

2004

Graph-based clustering for finding distant relationships in a large set of protein sequencesHideya Kawaji, Yoichi Takenaka, Hideo Matsuda. bioinformatics, 20(2):243-252, 2004. [doi]

A Graph Analysis Method to Detect Metabolic Sub-Networks Based on Phylogenetic ProfileShoko Miyake, Yoichi Takenaka, Hideo Matsuda. csb 2004: 634-635 [doi]

FREP: a database of functional repeats in mouse cDNAsTakeshi Nagashima, Hideo Matsuda, Diego G. Silva, Nikolai Petrovsky, Akihiko Konagaya, Christian Schönbach. nar, 32(Database-Issue):471-475, 2004.

A Challenge towards Next-Generation Research Infrastructure for Advanced Life ScienceHaruki Nakamura, Susumu Date, Hideo Matsuda, Shinji Shimojo. ngc, 22(2):157-166, 2004. [doi]

Inference of Gene Regulatory Network Based on Module Network Model with Gene Functional ClassificationsKohei Taki, Reiji Teramoto, Yoichi Takenaka, Hideo Matsuda. csb 2004: 632-633 [doi]

Heterogeneous Database Federation Using Grid Technology for Drug Discovery ProcessYukako Tohsato, Takahiro Kosaka, Susumu Date, Shinji Shimojo, Hideo Matsuda. lsgrid 2005: 43-52 [doi]

2003

MaXML: mouse annotation XMLTakeya Kasukawa, Hidemasa Bono, Yoshihide Hayashizaki, Yasushi Okazaki, Hideo Matsuda. isb, 4:7-15, 2003. [doi]

Clustering Method for Comparative Analysis between Genomes and PathwaysShoko Miyake, Yukako Tohsato, Yoichi Takenaka, Hideo Matsuda. dasfaa 2003: 327 [doi]

2002

An Application of a Pathway Alignment Method to Comparative Analysis between Genome and PathwaysShoko Miyake, Yukako Tohsato, Hideo Matsuda. csb 2002: 329-329 [doi]

Using Data Compression for Multidimensional Distribution AnalysisKentaro Onizuka, Tamotsu Noguchi, Yutaka Akiyama, Hideo Matsuda. expert, 17(3):48-54, 2002. [doi]

P-quasi Complete Linkage Analysis for Gene-Expression DataShigeto Seno, Reiji Teramoto, Hideo Matsuda. csb 2002: 342 [doi]

2001

PDB-REPRDB: a database of representative protein chains from the Protein Data Bank (PDB)Tamotsu Noguchi, Hideo Matsuda, Yutaka Akiyama. nar, 29(1):219-220, 2001.

2000

1999

Classifying Molecular Sequences Using a Linkage Graph With Their Pairwise SimilaritiesHideo Matsuda, T. Ishihara, Akihiro Hashimoto. TCS, 210(2):305-325, 1999. [doi]

1995

High Performance I/O System of the Distributed Shared-Memory Massively Parallel Computer JUMP-1Hironori Nakajo, Takashi Matsumoto, Masaki Kohata, Hideo Matsuda, Kei Hiraki, Yukio Kaneda. pdpcs 1995: 470-473

1994

1992

A Priority Control System for OR-Parallel Prolog and Its Performance EvaluationYukio Kaneda, Hideo Matsuda, Shigeo Suzuka. csreaPSC 1993: 42-53

1987

Implementing Parallel Prolog System on Multiprocessor System PARKHideo Matsuda, M. Kohata, T. Masuo, Yukio Kaneda, Sadao Maekawa. mammo 1987: 599-612

1986

Sequential Prolog Machine PEKYukio Kaneda, Naoyuki Tamura, Koichi Wada, Hideo Matsuda, Shumin Kuo, Sadao Maekawa. ngc, 4(1):51-66, 1986.

1985

Parallel Prolog Machine PARK: Its Hardware Structure and Prolog SystemHideo Matsuda, M. Kohata, T. Masuo, Yukio Kaneda, Sadao Maekawa. lp 1986: 35-43

1984

Sequential Prolog Machine PEKNaoyuki Tamura, Koichi Wada, Hideo Matsuda, Yukio Kaneda, Sadao Maekawa. fgcs 1984: 542-550

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