Mingon Kang - Concepedia

Author

Mingon Kang

Also Known As

Ciaccio, Mark F., M. Kang, M.-H. Kang, Malgeum Kang, Mingon Kang, Social Welfare Policy and Practice, 부산가톨릭대학교 인성교양학부 강사

106

Publications

1.6K

Citations

H-Index

Concepts

All Affiliations

Kennesaw State University The University of Texas at Arlington University of Nevada, Las Vegas Memorial Sloan Kettering Cancer Center University of Illinois Chicago

About

Mingon Kang is an author at Kennesaw State University specializing in engineering, medicine, and bioinformatics.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	11	11	293
2	Medicine	10	10	256
3	Biostatistics	6	6	176
4	Public Health	5	5	114
5	Computer Science	2	2	50

Mingon Kang

Publications

927

Citations

H-Index

Page 1

	Year	Citations
PASNet: pathway-associated sparse deep neural network for prognosis prediction from high-throughput data Jie Hao, Young Soon Kim, Tae-Kyung Kim, BMC Bioinformatics	2018	133
Interpretable deep neural network for cancer survival analysis by integrating genomic and clinical data Jie Hao, Young Soon Kim, Tejaswini Mallavarapu, BMC Medical Genomics	2019	81
PAGE-Net: Interpretable and Integrative Deep Learning for Survival Analysis Using Histopathological Images and Genomic Data Jie Hao, Sai Kosaraju, Nelson Zange Tsaku,	2019	73
Deep-Hipo: Multi-scale receptive field deep learning for histopathological image analysis Sai Kosaraju, Jie Hao, Hyun Min Koh, Methods Image AnalysisEngineeringMedical ImagingMedical Image ComputingBiomedical Imaging	2020	63
PathCNN: interpretable convolutional neural networks for survival prediction and pathway analysis applied to glioblastoma Jung Hun Oh, Wookjin Choi, Euiseong Ko, Bioinformatics	2021	60
Statistical methods for panel data from a semi-Markov process, with application to HPV Mingon Kang, Stephen W. Lagakos Biostatistics Infectious Disease ModellingStatistical MethodsHidden Markov ModelCurrent StateMarkov Kernel	2006	58
Pathway-based deep clustering for molecular subtyping of cancer Tejaswini Mallavarapu, Jie Hao, Young Soon Kim, Methods EngineeringTranslational BioinformaticsTumor HeterogeneityComputational BiologyCancer Genomics	2019	39
Deep learning-based framework for slide-based histopathological image analysis Sai Kosaraju, Jeongyeon Park, Hyun Lee, Scientific Reports	2022	37
Integration of multi-omics data for integrative gene regulatory network inference Neda Zarayeneh, Euiseong Ko, Jung Hun Oh, International Journal of Data Mining and Bioinformatics EngineeringPsychiatric DisordersGeneticsGene Regulatory NetworkEpigenetics	2017	36
Cox-PASNet: Pathway-based Sparse Deep Neural Network for Survival Analysis Jie Hao, Young Soon Kim, Tejaswini Mallavarapu,	2018	32

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