Analysis of Scene Identification Ability of Associative Memory with Pictorial Dictionary. - Tatsuhiko Tsunoda; Hidehiko Tanaka (COLING, 1994)

Aligning Articles in TV Newscasts and Newspapers. - Yasuhiko Watanabe; Yoshihiro Okada; Tatsuhiko Tsunoda; Makoto Nagao (MVA, 1996)

Time and Memory Efficient Algorithm for Extracting Palindromic and Repetitive Subsequences in Nucleic Acid Sequences. - Tatsuhiko Tsunoda; Masao Fukagawa; Toshihisa Takagi (Pacific Symposium on Biocomputing, 1999)

Estimating transcription factor bindability on DNA. - Tatsuhiko Tsunoda; Toshihisa Takagi (Bioinform., 1999)

MotifCombinator: a web-based tool to search for combinations of cis-regulatory motifs. - Mamoru Kato; Tatsuhiko Tsunoda (BMC Bioinform., 2007)

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)

Decimation filter with Common Spatial Pattern and Fishers Discriminant Analysis for motor imagery classification. - Shiu Kumar; Ronesh Sharma; Alok Sharma; Tatsuhiko Tsunoda (IJCNN, 2016)

Predicting MoRFs in protein sequences using HMM profiles. - Ronesh Sharma; Shiu Kumar; Tatsuhiko Tsunoda; Ashwini Patil; Alok Sharma (BMC Bioinform., 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)

Arete - candidate gene prioritization using biological network topology with additional evidence types. - Artem Lysenko; Keith A. Boroevich; Tatsuhiko Tsunoda (BioData Min., 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)

2D-EM clustering approach for high-dimensional data through folding feature vectors. - Alok Sharma; Piotr J. Kamola; Tatsuhiko Tsunoda (BMC Bioinform., 2017)

Divisive hierarchical maximum likelihood clustering. - Alok Sharma; Yosvany López; Tatsuhiko Tsunoda (BMC Bioinform., 2017)

Hierarchical Maximum Likelihood Clustering Approach. - Alok Sharma; Keith A. Boroevich; Daichi Shigemizu; Yoichiro Kamatani; Michiaki Kubo; Tatsuhiko Tsunoda (IEEE Trans. Biomed. Eng., 2017)

OPAL: prediction of MoRF regions in intrinsically disordered protein sequences. - Ronesh Sharma; Gaurav Raicar; Tatsuhiko Tsunoda; Ashwini Patil; Alok Sharma (Bioinform., 2018)

Subject-Specific-Frequency-Band for Motor Imagery EEG Signal Recognition Based on Common Spatial Spectral Pattern. - Shiu Kumar; Alok Sharma; Tatsuhiko Tsunoda (PRICAI (2), 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 (PRICAI (3), 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 (PRICAI (3), 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)

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)

Discovering MoRFs by trisecting intrinsically disordered protein sequence into terminals and middle regions. - Ronesh Sharma; Alok Sharma; Ashwini Patil; Tatsuhiko Tsunoda (BMC Bioinform., 2019)

Computational Pipelines and Workflows in Bioinformatics. - Yosvany López; Piotr J. Kamola; Ronesh Sharma; Daichi Shigemizu; Tatsuhiko Tsunoda; Alok Sharma (Encyclopedia of Bioinformatics and Computational Biology (3), 2019)

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; et al. (Nat., 2020)

DeepFeature: feature selection in nonimage data using convolutional neural network. - Alok Sharma; Artem Lysenko; Keith A. Boroevich; Edwin Vans; Tatsuhiko Tsunoda (Briefings Bioinform., 2021)

Forecasting the spread of COVID-19 using LSTM network. - Shiu Kumar; Ronesh Sharma; Tatsuhiko Tsunoda; Thirumananseri Kumarevel; Alok Sharma (BMC Bioinform., 2021)

SPECTRA: a tool for enhanced brain wave signal recognition. - Shiu Kumar; Tatsuhiko Tsunoda; Alok Sharma (BMC Bioinform., 2021)

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; et al. (Nucleic Acids Res., 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., 2023)

multi-GAT: Integrative Analysis of scRNA-seq and scATAC-seq Data Using Graph Attention Networks for Cell Annotation. - Shangru Jia; Tatsuhiko Tsunoda; Alok Sharma (PRICAI (1), 2024)

VBayesMM: variational Bayesian neural network to prioritize important relationships of high-dimensional microbiome multiomics data. - Tung Dang; Artem Lysenko; Keith A. Boroevich; Tatsuhiko Tsunoda (Briefings Bioinform., 2025)

Optimal normalization in quantum-classical hybrid models for anti-cancer drug response prediction. - Takafumi Ito; Artem Lysenko; Tatsuhiko Tsunoda (CoRR, 2025)