Mingon Kang

发表

Interpretable deep neural network for cancer survival analysis by integrating genomic and clinical data

Jung Hun Oh, Mingon Kang, Tejaswini Mallavarapu, 2019, BMC Medical Genomics.

Pathway-based deep clustering for molecular subtyping of cancer.

J. Hao, Youngsoon Kim, Tejaswini Mallavarapu, 2020, Methods.

Integration of Multi-omics Data for Expression Quantitative Trait Loci (eQTL) Analysis and eQTL Epistasis.

Jean X. Gao, Mingon Kang, 2020, Methods in molecular biology.

DiffGRN: differential gene regulatory network analysis

Jie Hao, Youngsoon Kim, Mingon Kang, 2018, Int. J. Data Min. Bioinform..

Hi-LASSO: High-performance python and apache spark packages for feature selection with high-dimensional data

Youngsoon Kim, Mingon Kang, Jongkwon Jo, 2022, bioRxiv.

Deep learning-based framework for slide-based histopathological image analysis

Mingon Kang, J. Yang, S. Kosaraju, 2022, Scientific Reports.

Recommendations for antiarrhythmic drugs based on latent semantic analysis with fc-means clustering

Kyungtae Kang, Juyoung Park, Junbeom Hur, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Cryptic mutations of PLC family members in brain disorders: recent discoveries and a deep-learning-based approach

Mingon Kang, Jae-Yeol Joo, Sumin Yang, 2022, Brain : a journal of neurology.

Prediction of Alzheimer’s disease-specific phospholipase c gamma-1 SNV by deep learning-based approach for high-throughput screening

P. Suh, H. Jang, Mingon Kang, 2021, Proceedings of the National Academy of Sciences.

PathCNN: interpretable convolutional neural networks for survival prediction and pathway analysis applied to glioblastoma

J. Deasy, A. Tannenbaum, J. Oh, 2021, Bioinform..

R-PathCluster: Identifying cancer subtype of glioblastoma multiforme using pathway-based restricted boltzmann machine

Jung Hun Oh, Mingon Kang, Tejaswini Mallavarapu, 2017, 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Robust Inductive Matrix Completion Strategy to Explore Associations Between LincRNAs and Human Disease Phenotypes

Ashis Kumer Biswas, Mingon Kang, Dong-Chul Kim, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Stable solution to l2,1-based robust inductive matrix completion and its application in linking long noncoding RNAs to human diseases

Ashis Kumer Biswas, Chris Ding, Mingon Kang, 2017, BMC Medical Genomics.

Robust Inductive Matrix Completion strategy to explore associations between lincRNAs and human disease phenotypes

Ashis Kumer Biswas, Jean Gao, Mingon Kang, 2016, 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Inferring disease associations of the long non-coding RNAs through non-negative matrix factorization

Chris H. Q. Ding, Ashis Kumer Biswas, Baoju Zhang, 2015, Network Modeling Analysis in Health Informatics and Bioinformatics.

Functional coordination of BET family proteins underlies altered transcription associated with memory impairment in fragile X syndrome

C. Chiang, Tae-Kyung Kim, Mingon Kang, 2021, Science Advances.

PASNet: pathway-associated sparse deep neural network for prognosis prediction from high-throughput data

Jie Hao, Tae-Kyung Kim, Mingon Kang, 2018, BMC Bioinformatics.

Interpretable machine learning in bioinformatics.

Young-Rae Cho, Mingon Kang, Mingon Kang, 2020, Methods.

Effects of low dose ionizing radiation on DNA damage-caused pathways by reverse-phase protein array and Bayesian networks

Ashis Kumer Biswas, Chin-Rang Yang, Xiaoyu Wang, 2017, J. Bioinform. Comput. Biol..

PAGE-Net: Interpretable and Integrative Deep Learning for Survival Analysis Using HistopathologicalImages and Genomic Data

Mingon Kang, Sai Chandra Kosaraju, Nelson Zange Tsaku, 2019, PSB.

Multiblock Discriminant Analysis for Integrative Genomic Study

Jean Gao, Mingon Kang, Jean X. Gao, 2015, BioMed research international.

Multi-block and Multi-task Learning for Integrative Genomic Study

Baoju Zhang, Jean Gao, Xiaoyong Wu, 2014, 2014 IEEE International Conference on Bioinformatics and Bioengineering.

eQTL epistasis: Detecting complex interaction effects between multiple loci from eQTL data

Shuo Li, Jean Gao, Chunyu Liu, 2013, 2013 IEEE International Conference on Bioinformatics and Biomedicine.

eQTL Mapping Study via Regularized Sparse Canonical Correlation Analysis

Baoju Zhang, Shuo Li, Jean Gao, 2013, 2013 12th International Conference on Machine Learning and Applications.

Sparse generalized canonical correlation analysis for biological model integration: A genetic study of psychiatric disorders

Baoju Zhang, Jean Gao, Xiaoyong Wu, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Multi-Block Bipartite Graph for Integrative Genomic Analysis

Juyoung Park, Jean Gao, Chunyu Liu, 2017, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

A roadmap for multi-omics data integration using deep learning

Mingon Kang, T. Mersha, Euiseong Ko, 2021, Briefings Bioinform..

Deep-Hipo: Multi-scale Receptive Field Deep Learning for Histopathological Image Analysis.

Mingon Kang, Sai Chandra Kosaraju, Hyun Min Koh, 2020, Methods.

Opioid Utility and Hospital Outcomes Among Inpatients Admitted With Osteoarthritis and Spine Disorders

Mingon Kang, N. Ayutyanont, Se won Lee, 2022, American journal of physical medicine & rehabilitation.

Integrative approach for inference of gene regulatory networks using lasso-based random featuring and application to psychiatric disorders

Jean Gao, Mingon Kang, Jean X. Gao, 2015, 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Editorial of Special Issue “Deep Learning and Machine Learning in Bioinformatics”

J. Oh, Mingon Kang, 2022, International journal of molecular sciences.

Harnessing deep learning into hidden mutations of neurological disorders for therapeutic challenges

Mingon Kang, Jae-Yeol Joo, Sumin Yang, 2023, Archives of Pharmacal Research.

Impact of Advance Care Planning on the Hospitalization-Associated Utilization and Cost of Patients with Alzheimer’s Disease-Related Disorders Receiving Primary Care via Telehealth in a Provider Shortage Area: A Quantitative Pre-Study

Jay J. Shen, Hee-Taik Kang, J. Yoo, 2023, International journal of environmental research and public health.

PASCL: Pathway-based Sparse Deep Clustering for Identifying Unknown Cancer Subtypes

Jie Hao, Jung Hun Oh, Mingon Kang, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Hi-LASSO: High-Dimensional LASSO

Mingon Kang, Tejaswini Mallavarapu, Jie Hao, 2019, IEEE Access.

Cascade Classification with Adaptive Feature Extraction for Arrhythmia Detection

Younghoon Kim, Kyungtae Kang, Juyoung Park, 2016, Journal of Medical Systems.

Cox-PASNet: Pathway-based Sparse Deep Neural Network for Survival Analysis

Jie Hao, Jung Hun Oh, Mingon Kang, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Integration of multi-omics data for integrative gene regulatory network inference

Sang C. Suh, Donghyun Kim, Jung Hun Oh, 2017, Int. J. Data Min. Bioinform..

Integration of DNA Methylation, Copy Number Variation, and Gene Expression for Gene Regulatory Network Inference and Application to Psychiatric Disorders

Baoju Zhang, Jean Gao, Xiaoyong Wu, 2014, 2014 IEEE International Conference on Bioinformatics and Bioengineering.

Inferring disease associations of the long non-coding RNAs through non-negative matrix factorization

Jean X. Gao, C. Ding, Mingon Kang, 2015, Network Modeling Analysis in Health Informatics and Bioinformatics.

Stable solution to l2,1-based robust inductive matrix completion and its application in linking long noncoding RNAs to human diseases

Jean X. Gao, C. Ding, Mingon Kang, 2017, BMC Medical Genomics.

Computational modeling of phagocyte transmigration for foreign body responses to subcutaneous biomaterial implants in mice

Jean Gao, Liping Tang, Mingon Kang, 2016, BMC Bioinformatics.

Multiblock Discriminant Analysis for Integrative Genomic Study

Jean X. Gao, Chunyu Liu, Mingon Kang, 2015, BioMed research international.

Graph-Theory Based Simplification Techniques for Efficient Biological Network Analysis

Donghyun Kim, Hyung Jae Chang, Mingon Kang, 2017, 2017 IEEE Third International Conference on Big Data Computing Service and Applications (BigDataService).

Integrative Gene Regulatory Network inference using multi-omics data

Sang C. Suh, Donghyun Kim, Jung Hun Oh, 2016, 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Fast and Accurate Machine Learning-based Malware Detection via RC4 Ciphertext Analysis*

Donghyun Kim, Junggab Son, Mingon Kang, 2019, 2019 International Conference on Computing, Networking and Communications (ICNC).

Racial and Ethnic Disparity in 4Ms among Older Adults Among Telehealth Users as Primary Care

Jay J. Shen, Hee-Taik Kang, J. Yoo, 2023, Gerontology & geriatric medicine.

Nearest neighbor search with locally weighted linear regression for heartbeat classification

Kyungtae Kang, Juyoung Park, Md. Zakirul Alam Bhuiyan, 2016, Soft Comput..

Nearest neighbor search with locally weighted linear regression for heartbeat classification

Md. Zakirul Alam Bhuiyan, Junggab Son, Mingon Kang, 2016, Soft Computing.