Tatsuhiko Tsunoda

32 papers B 2Misc 2Journal 23Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Optimal normalization in quantum-classical hybrid models for anti-cancer drug response prediction.
CoRR
Takafumi Ito, Artem Lysenko, Tatsuhiko Tsunoda
2025 J jnl
VBayesMM: variational Bayesian neural network to prioritize important relationships of high-dimensional microbiome multiomics data.
Briefings Bioinform.
Tung Dang, Artem Lysenko, Keith A. Boroevich, Tatsuhiko Tsunoda
2025 J jnl
scHDeepInsight: a hierarchical deep learning framework for precise immune cell annotation in single-cell RNA-seq data.
Briefings Bioinform.
Shangru Jia, Artem Lysenko, Keith A. Boroevich, Alok Sharma, Tatsuhiko Tsunoda
2024 — conf
multi-GAT: Integrative Analysis of scRNA-seq and scATAC-seq Data Using Graph Attention Networks for Cell Annotation.
PRICAI (1)
Shangru Jia, Tatsuhiko Tsunoda, Alok Sharma
2023 J jnl
CAID prediction portal: a comprehensive service for predicting intrinsic disorder and binding regions in proteins.
Nucleic Acids Res.
Alessio Del Conte, Adel Bouhraoua, Mahta Mehdiabadi, Damiano Clementel, Alexander Miguel Monzon, Alex S. Holehouse, Daniel A. Griffith, Ryan J. Emenecker, Ashwini Patil, Ronesh Sharma, Tatsuhiko Tsunoda, Alok Sharma, Yi Jun Tang, Bin Liu, Claudio Mirabello, Björn Wallner, Burkhard Rost, Dagmar Ilzhöfer, Maria Littmann, Michael Heinzinger, Lea I M. Krautheimer, Michael Bernhofer, Liam J. McGuffin, Isabelle Callebaut, Tristan Bitard Feildel, Jian Liu, Jianlin Cheng, Zhiye Guo, Jinbo Xu, Sheng Wang, Nawar Malhis, Jörg Gsponer, Chol-Song Kim, Kun-Sop Han, Myong-Chol Ma, Lukasz A. Kurgan, Sina Ghadermarzi, Akila Katuwawala, Bi Zhao, Zhenling Peng, Zhonghua Wu, Gang Hu, Kui Wang, Md. Tamjidul Hoque, Md Wasi Ul Kabir, Michele Vendruscolo, Pietro Sormanni, Min Li, Fuhao Zhang, Pengzhen Jia, Yida Wang, Michail Yu. Lobanov, Oxana V. Galzitskaya, Wim F. Vranken, Adrián Díaz, Thomas Litfin, Yaoqi Zhou, Jack Hanson, Kuldip K. Paliwal, Zsuzsanna Dosztányi, Gábor Erdös, Silvio C. E. Tosatto, Damiano Piovesan
2023 J jnl
scDeepInsight: a supervised cell-type identification method for scRNA-seq data with deep learning.
Briefings Bioinform.
Shangru Jia, Artem Lysenko, Keith A. Boroevich, Alok Sharma, Tatsuhiko Tsunoda
2021 J jnl
DeepFeature: feature selection in nonimage data using convolutional neural network.
Briefings Bioinform.
Alok Sharma, Artem Lysenko, Keith A. Boroevich, Edwin Vans, Tatsuhiko Tsunoda
2021 J jnl
Forecasting the spread of COVID-19 using LSTM network.
BMC Bioinform.
Shiu Kumar, Ronesh Sharma, Tatsuhiko Tsunoda, Thirumananseri Kumarevel, Alok Sharma
2021 J jnl
SPECTRA: a tool for enhanced brain wave signal recognition.
BMC Bioinform.
Shiu Kumar, Tatsuhiko Tsunoda, Alok Sharma
2020 J jnl
Analyses of non-coding somatic drivers in 2,658 cancer whole genomes.
Nat.
Esther Rheinbay, Morten Muhlig Nielsen, Federico Abascal, Jeremiah Wala, Ofer Shapira, Grace Tiao, Henrik Hornshøj, Julian M. Hess, Randi Istrup Juul, Ziao Lin, Lars Feuerbach, Radhakrishnan Sabarinathan, Tobias Madsen, Jaegil Kim, Loris Mularoni, Shimin Shuai, Andrés Lanzós, Carl Herrmann, Yosef E. Maruvka, Ciyue Shen, Samirkumar B. Amin, Pratiti Bandopadhayay, Johanna Bertl, Keith A. Boroevich, John Busanovich, Joana Carlevaro-Fita, Dimple Chakravarty, Calvin Wing Yiu Chan, David Craft, Priyanka Dhingra, Klev Diamanti, Nuno A. Fonseca, Abel González-Pérez, Qianyun Guo, Mark P. Hamilton, Nicholas J. Haradhvala, Chen Hong, Keren Isaev, Todd A. Johnson, Malene Juul, André Kahles, Abdullah Kahraman, Youngwook Kim, Jan Komorowski, Kiran Kumar, Sushant Kumar, Donghoon Lee, Kjong-Van Lehmann, Yilong Li, Eric Minwei Liu, Lucas Lochovsky, Keunchil Park, Oriol Pich, Nicola D. Roberts, Gordon Saksena, Steven E. Schumacher, Nikos Sidiropoulos, Lina Sieverling, Nasa Sinnott-Armstrong, Chip Stewart, David Tamborero, Jose M. C. Tubio, Husen M. Umer, Liis Uusküla-Reimand, Claes Wadelius, Lina Wadi, Xiaotong Yao, Cheng-Zhong Zhang, Jing Zhang, James E. Haber, Asger Hobolth, Marcin Imielinski, Manolis Kellis, Michael S. Lawrence, Christian von Mering, Hidewaki Nakagawa, Benjamin J. Raphael, Mark A. Rubin, Chris Sander, Lincoln D. Stein, Joshua M. Stuart, Tatsuhiko Tsunoda, David A. Wheeler, Rory Johnson, Jüri Reimand, Mark Gerstein, Ekta Khurana, Peter J. Campbell, Núria López-Bigas, Gary D. Bader, Jonathan Barenboim, Rameen Beroukhim, Søren Brunak, Ken Chen, Jung Kyoon Choi, Jordi Deu-Pons, J. Lynn Fink, Joan Frigola, Carlo Gambacorti Passerini, Dale W. Garsed, Gad Getz, Ivo Glynne Gut, David Haan, Arif Ozgun Harmanci, Mohamed Helmy, Ermin Hodzic, José M. G. Izarzugaza, Jong K. Kim, Jan O. Korbel, Erik Larsson, Shantao Li, Xiaotong Li, Shaoke Lou, Kathleen Marchal, Iñigo Martincorena, Alexander Martínez-Fundichely, Patrick D. McGillivray, William Meyerson, Ferran Muiños, Marta Paczkowska, Kiejung Park, Jakob Skou Pedersen, Tirso Pons, Sergio Pulido-Tamayo, Iker Reyes-Salazar, Matthew A. Reyna, Carlota Rubio-Perez, Süleyman Cenk Sahinalp, Leonidas Salichos, Mark Shackleton, Raunak Shrestha, Alfonso Valencia, Miguel Vazquez, Lieven P. C. Verbeke, Jiayin Wang, Jonathan Warrell, Sebastian M. Waszak, Joachim Weischenfeldt, Guanming Wu, Jun Yu, Xuanping Zhang, Yan Zhang, Zhongming Zhao, Lihua Zou, Kadir C. Akdemir, Eva G. Alvarez, Adrian Baez-Ortega, Paul C. Boutros, David D. L. Bowtell, Benedikt Brors, Kathleen H. Burns, Kin Chan, Isidro Cortés-Ciriano, Ana Dueso-Barroso, Andrew J. Dunford, Paul A. Edwards, Xavier Estivill, Dariush Etemadmoghadam, Milana Frenkel-Morgenstern, Dmitry A. Gordenin, Barbara Hutter, David T. W. Jones, Young Seok Ju, Marat D. Kazanov, Leszek J. Klimczak, Youngil Koh, Eunjung Alice Lee, Jake June-Koo Lee, Andy G. Lynch, Geoff MacIntyre, Florian Markowetz, Matthew Meyerson, Satoru Miyano, Fabio C. P. Navarro, Stephan Ossowski, Peter J. Park, John V. Pearson, Montserrat Puiggròs, Karsten Rippe, Steven A. Roberts, Bernardo Rodriguez-Martin, Ralph Scully, David Torrents, Izar Villasante, Nicola Waddell, Jeremiah A. Wala, Lixing Yang, Sung-Soo Yoon, Jorge Zamora
2019 — conf
Clustering of Small-Sample Single-Cell RNA-Seq Data via Feature Clustering and Selection.
PRICAI (3)
Edwin Vans, Alok Sharma, Ashwini Patil, Daichi Shigemizu, Tatsuhiko Tsunoda
2019 — ch.
Computational Pipelines and Workflows in Bioinformatics.
Encyclopedia of Bioinformatics and Computational Biology (3)
Yosvany López, Piotr J. Kamola, Ronesh Sharma, Daichi Shigemizu, Tatsuhiko Tsunoda, Alok Sharma
2019 — conf
Computational Prediction of Lysine Pupylation Sites in Prokaryotic Proteins Using Position Specific Scoring Matrix into Bigram for Feature Extraction.
PRICAI (3)
Vineet Singh, Alok Sharma, Abel Avitesh Chandra, Abdollah Dehzangi, Daichi Shigemizu, Tatsuhiko Tsunoda
2019 J jnl
Discovering MoRFs by trisecting intrinsically disordered protein sequence into terminals and middle regions.
BMC Bioinform.
Ronesh Sharma, Alok Sharma, Ashwini Patil, Tatsuhiko Tsunoda
2019 J jnl
GlyStruct: glycation prediction using structural properties of amino acid residues.
BMC Bioinform.
Hamendra Manhar Reddy, Alok Sharma, Abdollah Dehzangi, Daichi Shigemizu, Abel Avitesh Chandra, Tatsuhiko Tsunoda
2019 J jnl
Navigating the disease landscape: knowledge representations for contextualizing molecular signatures.
Briefings Bioinform.
Mansoor A. S. Saqi, Artem Lysenko, Yike Guo, Tatsuhiko Tsunoda, Charles Auffray
2019 — conf
Subject-Specific-Frequency-Band for Motor Imagery EEG Signal Recognition Based on Common Spatial Spectral Pattern.
PRICAI (2)
Shiu Kumar, Alok Sharma, Tatsuhiko Tsunoda
2018 J jnl
OPAL: prediction of MoRF regions in intrinsically disordered protein sequences.
Bioinform.
Ronesh Sharma, Gaurav Raicar, Tatsuhiko Tsunoda, Ashwini Patil, Alok Sharma
2017 J jnl
2D-EM clustering approach for high-dimensional data through folding feature vectors.
BMC Bioinform.
Alok Sharma, Piotr J. Kamola, Tatsuhiko Tsunoda
2017 J jnl
An improved discriminative filter bank selection approach for motor imagery EEG signal classification using mutual information.
BMC Bioinform.
Shiu Kumar, Alok Sharma, Tatsuhiko Tsunoda
2017 J jnl
Arete - candidate gene prioritization using biological network topology with additional evidence types.
BioData Min.
Artem Lysenko, Keith A. Boroevich, Tatsuhiko Tsunoda
2017 J jnl
Divisive hierarchical maximum likelihood clustering.
BMC Bioinform.
Alok Sharma, Yosvany López, Tatsuhiko Tsunoda
2017 J jnl
Hierarchical Maximum Likelihood Clustering Approach.
IEEE Trans. Biomed. Eng.
Alok Sharma, Keith A. Boroevich, Daichi Shigemizu, Yoichiro Kamatani, Michiaki Kubo, Tatsuhiko Tsunoda
2016 B conf
Decimation filter with Common Spatial Pattern and Fishers Discriminant Analysis for motor imagery classification.
IJCNN
Shiu Kumar, Ronesh Sharma, Alok Sharma, Tatsuhiko Tsunoda
2016 J jnl
Predicting MoRFs in protein sequences using HMM profiles.
BMC Bioinform.
Ronesh Sharma, Shiu Kumar, Tatsuhiko Tsunoda, Ashwini Patil, Alok Sharma
2016 J jnl
Stepwise iterative maximum likelihood clustering approach.
BMC Bioinform.
Alok Sharma, Daichi Shigemizu, Keith A. Boroevich, Yosvany López, Yoichiro Kamatani, Michiaki Kubo, Tatsuhiko Tsunoda
2008 J jnl
MOCSphaser: a haplotype inference tool from a mixture of copy number variation and single nucleotide polymorphism data.
Bioinform.
Mamoru Kato, Yusuke Nakamura, Tatsuhiko Tsunoda
2007 J jnl
MotifCombinator: a web-based tool to search for combinations of cis-regulatory motifs.
BMC Bioinform.
Mamoru Kato, Tatsuhiko Tsunoda
1999 J jnl
Estimating transcription factor bindability on DNA.
Bioinform.
Tatsuhiko Tsunoda, Toshihisa Takagi
1999 Misc conf
Time and Memory Efficient Algorithm for Extracting Palindromic and Repetitive Subsequences in Nucleic Acid Sequences.
Pacific Symposium on Biocomputing
Tatsuhiko Tsunoda, Masao Fukagawa, Toshihisa Takagi
1996 Misc conf
Aligning Articles in TV Newscasts and Newspapers.
MVA
Yasuhiko Watanabe, Yoshihiro Okada, Tatsuhiko Tsunoda, Makoto Nagao
1994 B conf
Analysis of Scene Identification Ability of Associative Memory with Pictorial Dictionary.
COLING
Tatsuhiko Tsunoda, Hidehiko Tanaka