JIHWAN HA

Assistant Professor

Pusan National University

South Korea

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Dr. Jihwan Ha is an Assistant Professor at Pukyong National University in South Korea. His research focuses on the intersection of machine learning and bioinformatics, particularly in identifying associations between long non-coding RNAs (lncRNAs) and diseases, as well as predicting miRNA-disease associations. His recent publications include innovative frameworks employing deep learning techniques and matrix factorization methods for enhancing prediction models in genomics.

Articles (17)

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2025

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2025

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2025

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2025

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2025

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2024

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2024

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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

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2021

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2021

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2021

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2020

Collaborators (4)

kwangsu kim

Assistant professor

Pusan National University

SOUTH KOREA

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Chihyun Park

Kangnam University

SOUTH KOREA

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Kyeongbo Kong

Pusan National University

SOUTH KOREA

View details

JIHWAN HA

Assistant Professor

Pusan National University

SOUTH KOREA

View details

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JIHWAN HA

Research Interests

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About

Articles (17)

An Ensemble Machine Learning Framework for Identifying LncRNA : Disease Association

Neighborhood-Regularized Matrix Factorization for lncRNA–Disease Association Identification

DeepWalk-Based Graph Embeddings for miRNA–Disease Association Prediction Using Deep Neural Network

Graph Convolutional Network with Neural Collaborative Filtering for Predicting miRNA-Disease Association

GMFLDA: Improved Prediction of lncRNA-Disease Association via Graph Convolutional Network

LncRNA Expression Profile-Based Matrix Factorization for Predicting lncRNA- Disease Association

Development of LncRNA-Disease Associations Prediction Model using CNN-RNN Feature Extraction based on LncRNA Sequence Data

SMAP: Similarity-based matrix factorization framework for inferring miRNA-disease association

SMAP: Similarity-based matrix factorization framework for inferring miRNA-disease association

Deep Learning Framework for Predicting Alzheimer's Disease using Multi-omics Data

NCMD: Node2vec-based neural collaborative filtering for predicting miRNA-disease association

Autoencoder-based Disease-related miRNA Prediction Research using Deep Learning

MDMF: Predicting miRNA–Disease Association Based on Matrix Factorization with Disease Similarity Constraint

Abstract 882: Associations of genetically predicted blood protein biomarkers with pancreatic ductal adenocarcinoma risk: A study using comprehensive protein genetic prediction models

MLMD: Metric Learning for Predicting MiRNA-Disease Associations

MLMD: Metric Learning for Predicting MiRNA-Disease Associations

Improved Prediction of miRNA-Disease Associations Based on Matrix Completion with Network Regularization.

Collaborators (4)

kwangsu kim

Chihyun Park

Kyeongbo Kong

JIHWAN HA

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