Tatsuhiko Tsunoda

According to our database, Tatsuhiko Tsunoda authored at least 28 papers between 1994 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

scDeepInsight: a supervised cell-type identification method for scRNA-seq data with deep learning.

Shangru Jia, Artem Lysenko, Keith A. Boroevich, Alok Sharma, Tatsuhiko Tsunoda

Briefings Bioinform., September, 2023

CAID prediction portal: a comprehensive service for predicting intrinsic disorder and binding regions in proteins.

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

Nucleic Acids Res., July, 2023

2021

SPECTRA: a tool for enhanced brain wave signal recognition.

Shiu Kumar, Tatsuhiko Tsunoda, Alok Sharma

BMC Bioinform., 2021

Forecasting the spread of COVID-19 using LSTM network.

Shiu Kumar, Ronesh Sharma, Tatsuhiko Tsunoda, Thirumananseri Kumarevel, Alok Sharma

BMC Bioinform., 2021

DeepFeature: feature selection in nonimage data using convolutional neural network.

Alok Sharma, Artem Lysenko, Keith A. Boroevich, Edwin Vans, Tatsuhiko Tsunoda

Briefings Bioinform., 2021

2020

Analyses of non-coding somatic drivers in 2,658 cancer whole genomes.

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 Gonzalez-Perez, 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

Nat., 2020

2019

Computational Pipelines and Workflows in Bioinformatics.

Yosvany López, Piotr J. Kamola, Ronesh Sharma, Daichi Shigemizu, Tatsuhiko Tsunoda, Alok Sharma

Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 3, 2019

Discovering MoRFs by trisecting intrinsically disordered protein sequence into terminals and middle regions.

Ronesh Sharma, Alok Sharma, Ashwini Patil, Tatsuhiko Tsunoda

BMC Bioinform., 2019

GlyStruct: glycation prediction using structural properties of amino acid residues.

Hamendra Manhar Reddy, Alok Sharma, Abdollah Dehzangi, Daichi Shigemizu, Abel Avitesh Chandra, Tatsuhiko Tsunoda

BMC Bioinform., 2019

Navigating the disease landscape: knowledge representations for contextualizing molecular signatures.

Mansoor A. S. Saqi, Artem Lysenko, Yike Guo, Tatsuhiko Tsunoda, Charles Auffray

Briefings Bioinform., 2019

Clustering of Small-Sample Single-Cell RNA-Seq Data via Feature Clustering and Selection.

Edwin Vans, Alok Sharma, Ashwini Patil, Daichi Shigemizu, Tatsuhiko Tsunoda

Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Computational Prediction of Lysine Pupylation Sites in Prokaryotic Proteins Using Position Specific Scoring Matrix into Bigram for Feature Extraction.

Vineet Singh, Alok Sharma, Abel Avitesh Chandra, Abdollah Dehzangi, Daichi Shigemizu, Tatsuhiko Tsunoda

Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Subject-Specific-Frequency-Band for Motor Imagery EEG Signal Recognition Based on Common Spatial Spectral Pattern.

Shiu Kumar, Alok Sharma, Tatsuhiko Tsunoda

Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

2018

OPAL: prediction of MoRF regions in intrinsically disordered protein sequences.

Ronesh Sharma, Gaurav Raicar, Tatsuhiko Tsunoda, Ashwini Patil, Alok Sharma

Bioinform., 2018

2017

Hierarchical Maximum Likelihood Clustering Approach.

Alok Sharma, Keith A. Boroevich, Daichi Shigemizu, Yoichiro Kamatani, Michiaki Kubo, Tatsuhiko Tsunoda

IEEE Trans. Biomed. Eng., 2017

Divisive hierarchical maximum likelihood clustering.

Alok Sharma, Yosvany López, Tatsuhiko Tsunoda

BMC Bioinform., 2017

2D-EM clustering approach for high-dimensional data through folding feature vectors.

Alok Sharma, Piotr J. Kamola, Tatsuhiko Tsunoda

BMC Bioinform., 2017

An improved discriminative filter bank selection approach for motor imagery EEG signal classification using mutual information.

Shiu Kumar, Alok Sharma, Tatsuhiko Tsunoda

BMC Bioinform., 2017

Arete - candidate gene prioritization using biological network topology with additional evidence types.

Artem Lysenko, Keith A. Boroevich, Tatsuhiko Tsunoda

BioData Min., 2017

2016

Stepwise iterative maximum likelihood clustering approach.

Alok Sharma, Daichi Shigemizu, Keith A. Boroevich, Yosvany López, Yoichiro Kamatani, Michiaki Kubo, Tatsuhiko Tsunoda

BMC Bioinform., 2016

Predicting MoRFs in protein sequences using HMM profiles.

Ronesh Sharma, Shiu Kumar, Tatsuhiko Tsunoda, Ashwini Patil, Alok Sharma

BMC Bioinform., 2016

Decimation filter with Common Spatial Pattern and Fishers Discriminant Analysis for motor imagery classification.

Shiu Kumar, Ronesh Sharma, Alok Sharma, Tatsuhiko Tsunoda

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2008

MOCSphaser: a haplotype inference tool from a mixture of copy number variation and single nucleotide polymorphism data.

Mamoru Kato, Yusuke Nakamura, Tatsuhiko Tsunoda

Bioinform., 2008

2007

MotifCombinator: a web-based tool to search for combinations of cis-regulatory motifs.

Mamoru Kato, Tatsuhiko Tsunoda

BMC Bioinform., 2007

1999

Estimating transcription factor bindability on DNA.

Tatsuhiko Tsunoda, Toshihisa Takagi

Bioinform., 1999

Time and Memory Efficient Algorithm for Extracting Palindromic and Repetitive Subsequences in Nucleic Acid Sequences.

Tatsuhiko Tsunoda, Masao Fukagawa, Toshihisa Takagi

Proceedings of the 4th Pacific Symposium on Biocomputing, 1999

1996

Aligning Articles in TV Newscasts and Newspapers.

Yasuhiko Watanabe, Yoshihiro Okada, Tatsuhiko Tsunoda, Makoto Nagao

Proceedings of IAPR Workshop on Machine Vision Applications, 1996

1994

Analysis of Scene Identification Ability of Associative Memory with Pictorial Dictionary.

Tatsuhiko Tsunoda, Hidehiko Tanaka

Proceedings of the 15th International Conference on Computational Linguistics, 1994