Tatsuhiko Tsunoda

Orcid: 0000-0002-5439-7918

According to our database1, Tatsuhiko Tsunoda authored at least 29 papers between 1994 and 2024.

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Bibliography

2024
multi-GAT: Integrative Analysis of scRNA-seq and scATAC-seq Data Using Graph Attention Networks for Cell Annotation.
Proceedings of the PRICAI 2024: Trends in Artificial Intelligence, 2024

2023
scDeepInsight: a supervised cell-type identification method for scRNA-seq data with deep learning.
Briefings Bioinform., September, 2023

CAID prediction portal: a comprehensive service for predicting intrinsic disorder and binding regions in proteins.
Nucleic Acids Res., July, 2023

2021
SPECTRA: a tool for enhanced brain wave signal recognition.
BMC Bioinform., 2021

Forecasting the spread of COVID-19 using LSTM network.
BMC Bioinform., 2021

DeepFeature: feature selection in nonimage data using convolutional neural network.
Briefings Bioinform., 2021

2020
Analyses of non-coding somatic drivers in 2,658 cancer whole genomes.
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Nat., 2020

2019
Computational Pipelines and Workflows in Bioinformatics.
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.
BMC Bioinform., 2019

GlyStruct: glycation prediction using structural properties of amino acid residues.
BMC Bioinform., 2019

Navigating the disease landscape: knowledge representations for contextualizing molecular signatures.
Briefings Bioinform., 2019

Clustering of Small-Sample Single-Cell RNA-Seq Data via Feature Clustering and Selection.
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.
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.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

2018
OPAL: prediction of MoRF regions in intrinsically disordered protein sequences.
Bioinform., 2018

2017
Hierarchical Maximum Likelihood Clustering Approach.
IEEE Trans. Biomed. Eng., 2017

Divisive hierarchical maximum likelihood clustering.
BMC Bioinform., 2017

2D-EM clustering approach for high-dimensional data through folding feature vectors.
BMC Bioinform., 2017

An improved discriminative filter bank selection approach for motor imagery EEG signal classification using mutual information.
BMC Bioinform., 2017

Arete - candidate gene prioritization using biological network topology with additional evidence types.
BioData Min., 2017

2016
Stepwise iterative maximum likelihood clustering approach.
BMC Bioinform., 2016

Predicting MoRFs in protein sequences using HMM profiles.
BMC Bioinform., 2016

Decimation filter with Common Spatial Pattern and Fishers Discriminant Analysis for motor imagery classification.
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.
Bioinform., 2008

2007
MotifCombinator: a web-based tool to search for combinations of cis-regulatory motifs.
BMC Bioinform., 2007

1999
Estimating transcription factor bindability on DNA.
Bioinform., 1999

Time and Memory Efficient Algorithm for Extracting Palindromic and Repetitive Subsequences in Nucleic Acid Sequences.
Proceedings of the 4th Pacific Symposium on Biocomputing, 1999

1996
Aligning Articles in TV Newscasts and Newspapers.
Proceedings of IAPR Workshop on Machine Vision Applications, 1996

1994
Analysis of Scene Identification Ability of Associative Memory with Pictorial Dictionary.
Proceedings of the 15th International Conference on Computational Linguistics, 1994


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