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BMC Bioinformatics|October 8, 2024
Crossfeat: a transformer-based cross-feature learning model for predicting drug side effect frequencyBin Baek, Hyunju LeeScientific Reports|November 4, 2020
Prediction of survival and recurrence in patients with pancreatic cancer by integrating multi-omics dataBin Baek, Hyunju LeePlos One|January 26, 2024
Integrated drug response prediction models pinpoint repurposed drugs with effectiveness against rhabdomyosarcomaBin Baek, Eunmi Jang, Sejin Park, et al.Cancer Medicine|November 8, 2022
Machine learning with in silico analysis markedly improves survival prediction modeling in colon cancer patientsChoong-Jae Lee, Bin Baek, Sang Hee Cho, 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 LeePageof 40