Tatsuhiko Tsunoda

Professor

University of Tokyo

Japan

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Articles (15)

Year:

2024

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2022

Collaborators (14)

Hiroyuki MISHIMA

Assistant Professor

Nagasaki University

JAPAN

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Mizuki Honda

Assistant professor

Hiroshima University

JAPAN

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Shinji Saitoh

Nagoya University

JAPAN

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Silvio Tosatto

Prof.

University of Padova

ITALY

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Kazuyo Moro

Professor/Concurrent affiliation

JAPAN

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Satomi Mitsuhashi

Yokohama National University

JAPAN

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Shuji Sumitomo

Kobe University Hospital

JAPAN

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Kazuyoshi Ishigaki

Professor

Keio University

JAPAN

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Masanori Fujimoto

Nagoya University Graduate School of Medicine

JAPAN

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Shinya Oki

特定准教授 / Program-Specific Associate Professor

Kyoto University

JAPAN

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Issei Shimada

Junior Associate Professor

Nagoya University

JAPAN

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Md Tamjidul Hoque

University of New Orleans

UNITED STATES

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Isabelle Callebaut

Sorbonne Université

FRANCE

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Alexander Monzon

Assistant Professor Tenure-Track (RTT researcher)

University of Padua

ITALY

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Tatsuhiko Tsunoda

Research Interests

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Articles (15)

Biallelic null variants in <i>PNPLA8</i> cause microcephaly by reducing the number of basal radial glia

Biallelic structural variants in three patients with ERCC8-related Cockayne syndrome and a potential pitfall of copy number variation analysis.

Enhanced analysis of tabular data through Multi-representation DeepInsight.

Advances in AI and machine learning for predictive medicine

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

Time-dependent cell-state selection identifies transiently expressed genes regulating ILC2 activation

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

Topologically associating domain underlies tissue specific expression of long intergenic non-coding RNAs

The early neutrophil-committed progenitors aberrantly differentiate into immunoregulatory monocytes during emergency myelopoiesis.

DeepInsight-3D architecture for anti-cancer drug response prediction with deep-learning on multi-omics.

PepCNN deep learning tool for predicting peptide binding residues in proteins using sequence, structural, and language model features

Utility of tissue-specific gene expression scores for gene prioritization in Mendelian diseases

Splicing QTL analysis focusing on coding sequences reveals mechanisms for disease susceptibility loci.

Targeted deep sequencing analyses of long QT syndrome in a Japanese population

CNN-Pred: Prediction of single-stranded and double-stranded DNA-binding protein using convolutional neural networks.

Collaborators (14)

Hiroyuki MISHIMA

Mizuki Honda

Shinji Saitoh

Silvio Tosatto

Kazuyo Moro

Satomi Mitsuhashi

Shuji Sumitomo

Kazuyoshi Ishigaki

Masanori Fujimoto

Shinya Oki

Issei Shimada

Md Tamjidul Hoque

Isabelle Callebaut

Alexander Monzon

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