Prediction of Alzheimer’s disease using blood gene expression data von Lee, Taesic, Lee, Hyunju

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Biomedical named entity recognition using deep neural networks with contextual information von Cho, Hyejin, Lee, Hyunju

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Identifying disease-gene associations using a convolutional neural network-based model by embedding a biological knowledge graph with entity descriptions von Choi, Wonjun, Lee, Hyunju

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Crossfeat: a transformer-based cross-feature learning model for predicting drug side effect frequency von Baek, Bin, Lee, Hyunju

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DeepPIG: deep neural network architecture with pairwise connected layers and stochastic gates using knockoff frameworks for feature selection von Oh, Euiyoung, Lee, Hyunju

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HUBO and QUBO models for prime factorization von Jun, Kyungtaek, Lee, Hyunju

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Molecular data representation based on gene embeddings for cancer drug response prediction von Park, Sejin, Lee, Hyunju

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Joint triplet loss with semi-hard constraint for data augmentation and disease prediction using gene expression data von Chung, Yeonwoo, Lee, Hyunju

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Integrative reconstruction of cancer genome karyotypes using InfoGenomeR von Lee, Yeonghun, Lee, Hyunju

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A method for named entity normalization in biomedical articles: application to diseases and plants von Cho, Hyejin, Choi, Wonjun, Lee, Hyunju

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Impact of Public Health Interventions on Seasonal Influenza Activity During the COVID-19 Outbreak in Korea von Lee, Hyunju, Lee, Heeyoung, Song, Kyoung-Ho, Kim, Eu Suk, Park, Jeong Su, Jung, Jongtak, Ahn, Soyeon, Jeong, Eun Kyeong, Park, Hyekyung, Kim, Hong Bin

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HIDTI: integration of heterogeneous information to predict drug-target interactions von Soh, Jihee, Park, Sejin, Lee, Hyunju

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Prediction of the 3D cancer genome from whole-genome sequencing using InfoHiC von Lee, Yeonghun, Park, Sung-Hye, Lee, Hyunju

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Super.FELT: supervised feature extraction learning using triplet loss for drug response prediction with multi-omics data von Park, Sejin, Soh, Jihee, Lee, Hyunju

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PINNet: a deep neural network with pathway prior knowledge for Alzheimer's disease von Kim, Yeojin, Lee, Hyunju

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SDGCCA: Supervised Deep Generalized Canonical Correlation Analysis for Multi-Omics Integration von Moon, Sehwan, Hwang, Jeongyoung, Lee, Hyunju

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A computational approach to identifying gene-microRNA modules in cancer von Jin, Daeyong, Lee, Hyunju

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Meta-Analysis of Pain Relief Effects by Laser Irradiation on Joint Areas von Jang, Ho, Lee, Hyunju

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A Study on Optimization of Noise Reduction of Powered Vehicle Seat Movement Using Brushless Direct-Current Motor von Lee, Hyunju, Ko, Dongshin, Nam, Jaehyeon

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Cancer-Stimulated CAFs Enhance Monocyte Differentiation and Protumoral TAM Activation via IL6 and GM-CSF Secretion von Cho, Haaglim, Seo, Youngha, Loke, Kin Man, Kim, Seon-Wook, Oh, Seong-Min, Kim, Jun-Hyeong, Soh, Jihee, Kim, Hyoen Sik, Lee, Hyunju, Kim, Jin, Min, Jung-Joon, Jung, Da-Woon, Williams, Darren Reece

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