Prediction of Alzheimer's disease based on deep neural network by integrating gene expression and DNA methylation dataset C Park, J Ha, S Park Expert Systems with Applications 140, 112873, 2020 | 159 | 2020 |
Combinatorial feature embedding based on CNN and LSTM for biomedical named entity recognition M Cho, J Ha, C Park, S Park Journal of biomedical informatics 103, 103381, 2020 | 133 | 2020 |
IMIPMF: Inferring miRNA-disease interactions using probabilistic matrix factorization J Ha, C Park, C Park, S Park Journal of biomedical informatics 102, 103358, 2020 | 57 | 2020 |
NCMD: Node2vec-based neural collaborative filtering for predicting miRNA-disease association J Ha, S Park IEEE/ACM Transactions on Computational Biology and Bioinformatics 20 (2 …, 2023 | 40 | 2023 |
Improved prediction of miRNA-disease associations based on matrix completion with network regularization J Ha, C Park, C Park, S Park Cells 9 (4), 881, 2020 | 38 | 2020 |
SMAP: Similarity-based matrix factorization framework for inferring miRNA-disease association J Ha Knowledge-Based Systems 263, 110295, 2023 | 35 | 2023 |
MDMF: predicting miRNA–disease association based on matrix factorization with disease similarity constraint J Ha Journal of Personalized Medicine 12 (6), 885, 2022 | 33 | 2022 |
PMAMCA: prediction of microRNA-disease association utilizing a matrix completion approach J Ha, C Park, S Park BMC systems biology 13, 1-13, 2019 | 33 | 2019 |
MLMD: Metric learning for predicting MiRNA-disease associations J Ha, C Park IEEE Access 9, 78847-78858, 2021 | 28 | 2021 |
A method of extracting disease-related microRNAs through the propagation algorithm using the environmental factor based global miRNA network J Ha, Y Yoon, S Park Bio-medical materials and engineering 26 (s1), S1763-S1772, 2015 | 23 | 2015 |
LncRNA expression profile-based matrix factorization for predicting lncRNA-disease association J Ha IEEE Access 12, 70297 - 70304, 2024 | 7 | 2024 |
Biomedical Named Entity Recognition using Multi-head Attention with Highway Network M Cho, J Ha, S Park Journal of KIISE 46 (6), 544-553, 2019 | 3 | 2019 |
Associations of genetically predicted blood protein biomarkers with pancreatic ductal adenocarcinoma risk: A study using comprehensive protein genetic prediction models D Ghoneim, J Zhu, J Ha, P Surendran, QC Yao, T Liu, S Fahle, ... Cancer Research 81 (13_Supplement), 882-882, 2021 | 2 | 2021 |
Deep Learning Framework for Predicting Alzheimer's Disease using Multi-omics Data J Ha, K Kong, D Park Journal of KIIT 20 (7), 29-37, 2022 | 1 | 2022 |
Graph Convolutional Network with Neural Collaborative Filtering for Predicting miRNA-Disease Association J Ha Biomedicines 13 (1), 136, 2025 | | 2025 |
Development of LncRNA-Disease Associations Prediction Model using CNN-RNN Feature Extraction based on LncRNA Sequence Data S Kim, J Ha Journal of KIIT 22 (10), 1-11, 2024 | | 2024 |
Autoencoder-based Disease-related miRNA Prediction Research using Deep Learning J Ha Journal of KIIT 20 (6), 33-40, 2022 | | 2022 |