Computational modeling of phagocyte transmigration during biomaterial-mediated foreign body responses. - Mingon Kang; Jean X. Gao; Liping Tang (BIBM, 2010)

Nonlinear RANSAC Optimization for Parameter Estimation with Applications to Phagocyte Transmigration. - Mingon Kang; Jean Gao; Liping Tang (ICMLA (1), 2011)

Investigation of impact factors for various performances of passive UHF RFID system. - Jae Sung Choi; Mingon Kang; Ramez Elmasri; Daniel W. Engels (RFID-TA, 2011)

eQTL epistasis: Detecting complex interaction effects between multiple loci from eQTL data. - Mingon Kang; Shuo Li 009; Chunyu Liu 001; Jean Gao (BIBM, 2013)

Sparse generalized canonical correlation analysis for biological model integration: A genetic study of psychiatric disorders. - Mingon Kang; Baoju Zhang; Xiaoyong Wu; Chunyu Liu 001; Jean Gao (EMBC, 2013)

eQTL Mapping Study via Regularized Sparse Canonical Correlation Analysis. - Mingon Kang; Shuo Li 009; Dong-Chul Kim; Chunyu Liu 001; Baoju Zhang; Xiaoyong Wu; Jean Gao (ICMLA (1), 2013)

Multi-block and Multi-task Learning for Integrative Genomic Study. - Mingon Kang; Dong-Chul Kim; Chunyu Liu 001; Baoju Zhang; Xiaoyong Wu; Jean Gao (BIBE, 2014)

Integration of DNA Methylation, Copy Number Variation, and Gene Expression for Gene Regulatory Network Inference and Application to Psychiatric Disorders. - Dong-Chul Kim; Mingon Kang; Baoju Zhang; Xiaoyong Wu; Chunyu Liu 001; Jean Gao (BIBE, 2014)

An integrative genomic study for multimodal genomic data using multi-block bipartite graph. - Mingon Kang; Juyoung Park; Dong-Chul Kim; Ashis Kumer Biswas; Chunyu Liu 001; Jean Gao (BIBM, 2015)

Integrative approach for inference of gene regulatory networks using lasso-based random featuring and application to Psychiatric disorders. - Dong-Chul Kim; Mingon Kang; Ashis Kumer Biswas; Chunyu Liu 001; Jean Gao (BIBM, 2015)

Heartbeat classification for detecting arrhythmia using normalized beat morphology features. - Juyoung Park; Mingon Kang; Younghoon Kim; Kyungtae Kang (BIBM, 2015)

eQTL epistasis: detecting epistatic effects and inferring hierarchical relationships of genes in biological pathways. - Mingon Kang; Chunling Zhang; Hyung-Wook Chun; Chris H. Q. Ding; Chunyu Liu 001; Jean Gao (Bioinform., 2015)

Inferring disease associations of the long non-coding RNAs through non-negative matrix factorization. - Ashis Kumer Biswas; Mingon Kang; Dong-Chul Kim; Chris H. Q. Ding; Baoju Zhang; Xiaoyong Wu; Jean X. Gao (Netw. Model. Anal. Health Informatics Bioinform., 2015)

Integrative Gene Regulatory Network inference using multi-omics data. - Neda Zarayeneh; Jung Hun Oh; Donghyun Kim 001; Chunyu Liu 001; Jean Gao; Sang C. Suh; Mingon Kang (BIBM, 2016)

Recommendations for antiarrhythmic drugs based on latent semantic analysis with fc-means clustering. - Juyoung Park; Mingon Kang; Junbeom Hur; Kyungtae Kang (EMBC, 2016)

Computational modeling of phagocyte transmigration for foreign body responses to subcutaneous biomaterial implants in mice. - Mingon Kang; Liping Tang; Jean Gao (BMC Bioinform., 2016)

R-PathCluster: Identifying cancer subtype of glioblastoma multiforme using pathway-based restricted boltzmann machine. - Tejaswini Mallavarapu; Youngsoon Kim; Jung Hun Oh; Mingon Kang (BIBM, 2017)

Graph-Theory Based Simplification Techniques for Efficient Biological Network Analysis. - Euiseong Ko; Mingon Kang; Hyung Jae Chang; Donghyun Kim 001 (BigDataService, 2017)

A Comparison on Sparse Coding and Moran's I Method for Image Denoising. - Minh Nguyen; Chih-Cheng Hung; Mingon Kang (RACS, 2017)

Identifying cis/trans-acting expression quantitative trait loci (eQTL). - Mingon Kang; Dong-Chul Kim; Chunyu Liu 001; Jean Gao (Int. J. Data Min. Bioinform., 2017)

Nonlinear-RANSAC parameter optimisation for dynamic molecular systems and signalling pathways. - Mingon Kang; Liping Tang; Jean Gao (Int. J. Data Min. Bioinform., 2017)

Integration of multi-omics data for integrative gene regulatory network inference. - Neda Zarayeneh; Euiseong Ko; Jung Hun Oh; Sang C. Suh; Chunyu Liu 001; Jean Gao; Donghyun Kim 001; Mingon Kang (Int. J. Data Min. Bioinform., 2017)

Effects of low dose ionizing radiation on DNA damage-caused pathways by reverse-phase protein array and Bayesian networks. - Dong-Chul Kim; Mingon Kang; Ashis Kumer Biswas; Chin-Rang Yang; Xiaoyu Wang; Jean X. Gao (J. Bioinform. Comput. Biol., 2017)

Cascade Classification with Adaptive Feature Extraction for Arrhythmia Detection. - Juyoung Park; Mingon Kang; Jean Gao; Younghoon Kim; Kyungtae Kang (J. Medical Syst., 2017)

Multi-Block Bipartite Graph for Integrative Genomic Analysis. - Mingon Kang; Juyoung Park; Dong-Chul Kim; Ashis Kumer Biswas; Chunyu Liu 001; Jean Gao (IEEE ACM Trans. Comput. Biol. Bioinform., 2017)

Cox-PASNet: Pathway-based Sparse Deep Neural Network for Survival Analysis. - Jie Hao; Youngsoon Kim; Tejaswini Mallavarapu; Jung Hun Oh; Mingon Kang (BIBM, 2018)

PASCL: Pathway-based Sparse Deep Clustering for Identifying Unknown Cancer Subtypes. - Tejaswini Mallavarapu; Jie Hao; Youngsoon Kim; Jung Hun Oh; Mingon Kang (BIBM, 2018)

Automatic knowledge extraction from OCR documents using hierarchical document analysis. - Mohammad Masum; Sai Kosaraju; Tanju Bayramoglu; Girish Modgil; Mingon Kang (RACS, 2018)

PASNet: pathway-associated sparse deep neural network for prognosis prediction from high-throughput data. - Jie Hao; Youngsoon Kim; Tae-Kyung Kim; Mingon Kang (BMC Bioinform., 2018)

DiffGRN: differential gene regulatory network analysis. - Youngsoon Kim; Jie Hao; Yadu Gautam; Tesfaye B. Mersha; Mingon Kang (Int. J. Data Min. Bioinform., 2018)

Text Mining and Sentiment Analysis for Predicting Box Office Success. - Yoosin Kim; Mingon Kang; Seung Ryul Jeong (KSII Trans. Internet Inf. Syst., 2018)

Nearest neighbor search with locally weighted linear regression for heartbeat classification. - Juyoung Park; Md. Zakirul Alam Bhuiyan; Mingon Kang; Junggab Son; Kyungtae Kang (Soft Comput., 2018)

Table of Contents Recognition in OCR Documents using Image-based Machine Learning. - Sai Kosaraju; Nelson Zange Tsaku; Pritesh Patel; Tanju Bayramoglu; Girish Modgil; Mingon Kang (ACM Southeast Regional Conference, 2019)

Texture-based Deep Learning for Effective Histopathological Cancer Image Classification. - Nelson Zange Tsaku; Sai Chandra Kosaraju; Tasmia Aqila; Mohammad Masum; Dae Hyun Song; Ananda Mohan Mondal; Hyun Min Koh; Mingon Kang (BIBM, 2019)

Fast and Accurate Machine Learning-based Malware Detection via RC4 Ciphertext Analysis*. - Junggab Son; Euiseong Ko; Uday Bhaskar Boyanapalli; Donghyun Kim 001; Youngsoon Kim; Mingon Kang (ICNC, 2019)

DoT-Net: Document Layout Classification Using Texture-Based CNN. - Sai Chandra Kosaraju; Mohammad Masum; Nelson Zange Tsaku; Pritesh Patel; Tanju Bayramoglu; Girish Modgil; Mingon Kang (ICDAR, 2019)

Semi-Supervised Discriminative Transfer Learning in Cross-Language Text Classification. - Mingon Kang; Ashis Kumer Biswas; Dong-Chul Kim; Jean Gao (ICMLA, 2019)

Gene- and Pathway-Based Deep Neural Network for Multi-omics Data Integration to Predict Cancer Survival Outcomes. - Jie Hao; Mohammad Masum; Jung Hun Oh; Mingon Kang (ISBRA, 2019)

Hi-LASSO: High-Dimensional LASSO. - Youngsoon Kim; Jie Hao; Tejaswini Mallavarapu; Jong Hyuk Park; Mingon Kang (IEEE Access, 2019)

Robust Inductive Matrix Completion Strategy to Explore Associations Between LincRNAs and Human Disease Phenotypes. - Ashis Kumer Biswas; Dong-Chul Kim; Mingon Kang; Jean X. Gao (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

PAGE-Net: Interpretable and Integrative Deep Learning for Survival Analysis Using HistopathologicalImages and Genomic Data. - Jie Hao; Sai Chandra Kosaraju; Nelson Zange Tsaku; Dae Hyun Song; Mingon Kang (PSB, 2020)

Rethinking the Weakness of Stream Ciphers and Its Application to Encrypted Malware Detection. - William Stone; Daeyoung Kim 004; Victor Youdom Kemmoe; Mingon Kang; Junggab Son (IEEE Access, 2020)

Practical Evaluation of Different Omics Data Integration Methods. - WenJia Feng; Zekun Yu; Mingon Kang; Haijun Gong; Tae-Hyuk Ahn (Precision Health and Medicine, 2020)

PathCNN: interpretable convolutional neural networks for survival prediction and pathway analysis applied to glioblastoma. - Jung Hun Oh; Wookjin Choi; Euiseong Ko; Mingon Kang; Allen R. Tannenbaum; Joseph O. Deasy (Bioinform., 2021)

PGNets: Planet mass prediction using convolutional neural networks for radio continuum observations of protoplanetary disks. - Shangjia Zhang; Zhaohuan Zhu; Mingon Kang (CoRR, 2021)

A roadmap for multi-omics data integration using deep learning. - Mingon Kang; Euiseong Ko; Tesfaye B. Mersha (Briefings Bioinform., 2022)

Epidemic Vulnerability Index for Effective Vaccine Distribution Against Pandemic. - Hunmin Lee; Mingon Kang; Donghyun Kim 001; Daehee Seo; Yingshu Li (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Evidential deep learning for trustworthy prediction of enzyme commission number. - So-Ra Han; Mingyu Park; Sai Kosaraju; Jeungmin Lee; Hyun Lee; Jun Hyuck Lee; Tae-Jin Oh; Mingon Kang (Briefings Bioinform., 2023)

SPIN: sex-specific and pathway-based interpretable neural network for sexual dimorphism analysis. - Euiseong Ko; Youngsoon Kim; Farhad Shokoohi; Tesfaye B. Mersha; Mingon Kang (Briefings Bioinform., 2024)

Multi-layered self-attention mechanism for weakly supervised semantic segmentation. - Avinash Yaganapu; Mingon Kang (Comput. Vis. Image Underst., 2024)