Hiroshi Mamitsuka

Ise, 6110011, Japan

Last Updated: 09/26/2026

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Found 76 publications

DeepKOALA: a scalable deep learning framework for KEGG Orthology assignment.

DeepKOALA: a scalable deep learning framework for KEGG Orthology assignment.

Journal: Briefings in bioinformatics

Published: January 28, 2026

Re: Letter to the Editor Regarding "Uncovering Key Features for Predicting Comorbid Chronic Eosinophilic Pneumonia in Chronic Rhinosinusitis Via Machine Learning".

Re: Letter to the Editor Regarding "Uncovering Key Features for Predicting Comorbid Chronic Eosinophilic Pneumonia in Chronic Rhinosinusitis Via Machine Learning".

Journal: International forum of allergy & rhinology

Published: October 18, 2025

Clinical Key Features Uncovered by Blood Eosinophilia-Based Machine Learning Classification of Chronic Rhinosinusitis.

Clinical Key Features Uncovered by Blood Eosinophilia-Based Machine Learning Classification of Chronic Rhinosinusitis.

Journal: International forum of allergy & rhinology

Published: July 14, 2025

Beyond rigid docking: deep learning approaches for fully flexible protein-ligand interactions.

Beyond rigid docking: deep learning approaches for fully flexible protein-ligand interactions.

Journal: Briefings in bioinformatics

Published: May 12, 2025

The interictal transcriptomic map of migraine without aura.

The interictal transcriptomic map of migraine without aura.

Journal: The journal of headache and pain

Published: February 18, 2025

Uncovering Key Features for Predicting Comorbid Chronic Eosinophilic Pneumonia in Chronic Rhinosinusitis via Machine Learning.

Uncovering Key Features for Predicting Comorbid Chronic Eosinophilic Pneumonia in Chronic Rhinosinusitis via Machine Learning.

Journal: International forum of allergy & rhinology

Published: January 12, 2025

GORetriever: reranking protein-description-based GO candidates by literature-driven deep information retrieval for protein function annotation.

GORetriever: reranking protein-description-based GO candidates by literature-driven deep information retrieval for protein function annotation.

Journal: Bioinformatics (Oxford, England)

Published: September 04, 2024

Graph Network-Based Simulation of Multicellular Dynamics Driven by Concentrated Polymer Brush-Modified Cellulose Nanofibers.

Graph Network-Based Simulation of Multicellular Dynamics Driven by Concentrated Polymer Brush-Modified Cellulose Nanofibers.

Journal: ACS biomaterials science & engineering

Published: March 28, 2024

DeepMHCI: an anchor position-aware deep interaction model for accurate MHC-I peptide binding affinity prediction.

DeepMHCI: an anchor position-aware deep interaction model for accurate MHC-I peptide binding affinity prediction.

Journal: Bioinformatics (Oxford, England)

Published: May 10, 2023

Central-Smoothing Hypergraph Neural Networks for Predicting Drug-Drug Interactions.

Central-Smoothing Hypergraph Neural Networks for Predicting Drug-Drug Interactions.

Journal: IEEE transactions on neural networks and learning systems

Published: April 05, 2023

SPARSE: a sparse hypergraph neural network for learning multiple types of latent combinations to accurately predict drug-drug interactions.

SPARSE: a sparse hypergraph neural network for learning multiple types of latent combinations to accurately predict drug-drug interactions.

Journal: Bioinformatics (Oxford, England)

Published: June 27, 2022

DeepMHCII: a novel binding core-aware deep interaction model for accurate MHC-II peptide binding affinity prediction.

DeepMHCII: a novel binding core-aware deep interaction model for accurate MHC-II peptide binding affinity prediction.

Journal: Bioinformatics (Oxford, England)

Published: June 27, 2022

Showing 1-12 of 76

Last Updated: 09/26/2026