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Cancer Medicine|March 31, 2023
Transcriptomic data in tumor-adjacent normal tissues harbor prognostic information on multiple cancer typesEuiyoung Oh, Hyunju LeeScientific Reports|July 6, 2024
DeepPIG: deep neural network architecture with pairwise connected layers and stochastic gates using knockoff frameworks for feature selectionEuiyoung Oh, Hyunju LeeCancers|July 2, 2021
Genome-Wide Transcriptomic Analysis of Non-Tumorigenic Tissues Reveals Aging-Related Prognostic Markers and Drug Targets in Renal Cell CarcinomaEuiyoung Oh, Jun-Hyeong Kim, JungIn Um, et al.BMC Bioinformatics|December 29, 2019
Biomedical named entity recognition using deep neural networks with contextual informationHyejin Cho, Hyunju LeeScientific Reports|February 28, 2020
Prediction of Alzheimer's disease using blood gene expression dataTaesic Lee, Hyunju LeeJournal of Personalized Medicine|August 27, 2021
JDSNMF: Joint Deep Semi-Non-Negative Matrix Factorization for Learning Integrative Representation of Molecular Signals in Alzheimer's DiseaseSehwan Moon, Hyunju LeeBMC Bioinformatics|January 2, 2010
Integrative approaches to the prediction of protein functions based on the feature selectionSeokha Ko, Hyunju LeePhysics in Medicine and Biology|December 31, 2016
A mathematical analysis of the ABCD criteria for diagnosing malignant melanomaHyunju Lee, Kiwoon KwonBioinformatics (Oxford, England)|March 31, 2015
DEOD: uncovering dominant effects of cancer-driver genes based on a partial covariance selection methodBayarbaatar Amgalan, Hyunju LeeJournal of Educational Evaluation for Health Professions|December 27, 2023
Information amount, accuracy, and relevance of generative artificial intelligence platforms’ answers regarding learning objectives of medical arthropodology evaluated in English and Korean queries in December 2023: a descriptive studyHyunju Lee, Soobin ParkPageof 32