Search Results - "Hyunju Lee"

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

“…Identification of AD (Alzheimer’s disease)-related genes obtained from blood samples is crucial for early AD diagnosis. We used three public datasets, ADNI,…”
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Biomedical named entity recognition using deep neural networks with contextual information by Cho, Hyejin, Lee, Hyunju

“…In biomedical text mining, named entity recognition (NER) is an important task used to extract information from biomedical articles. Previously proposed…”
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Identifying disease-gene associations using a convolutional neural network-based model by embedding a biological knowledge graph with entity descriptions by Choi, Wonjun, Lee, Hyunju

“…Understanding the role of genes in human disease is of high importance. However, identifying genes associated with human diseases requires laborious…”
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Crossfeat: a transformer-based cross-feature learning model for predicting drug side effect frequency by Baek, Bin, Lee, Hyunju

“…Safe drug treatment requires an understanding of the potential side effects. Identifying the frequency of drug side effects can reduce the risks associated…”
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DeepPIG: deep neural network architecture with pairwise connected layers and stochastic gates using knockoff frameworks for feature selection by Oh, Euiyoung, Lee, Hyunju

“…Selecting relevant feature subsets is essential for machine learning applications. Among the feature selection techniques, the knockoff filter procedure…”
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HUBO and QUBO models for prime factorization by Jun, Kyungtaek, Lee, Hyunju

“…The security of the RSA cryptosystem is based on the difficulty of factoring a large number N into prime numbers p and q satisfying N = p × q . This paper…”
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Molecular data representation based on gene embeddings for cancer drug response prediction by Park, Sejin, Lee, Hyunju

“…Cancer drug response prediction is a crucial task in precision medicine, but existing models have limitations in effectively representing molecular profiles of…”
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Joint triplet loss with semi-hard constraint for data augmentation and disease prediction using gene expression data by Chung, Yeonwoo, Lee, Hyunju

“…The accurate prediction of patients with complex diseases, such as Alzheimer’s disease (AD), as well as disease stages, including early- and late-stage cancer,…”
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Integrative reconstruction of cancer genome karyotypes using InfoGenomeR by Lee, Yeonghun, Lee, Hyunju

“…Annotation of structural variations (SVs) and base-level karyotyping in cancer cells remains challenging. Here, we present Integrative Framework for Genome…”
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A method for named entity normalization in biomedical articles: application to diseases and plants by Cho, Hyejin, Choi, Wonjun, Lee, Hyunju

“…In biomedical articles, a named entity recognition (NER) technique that identifies entity names from texts is an important element for extracting biological…”
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HIDTI: integration of heterogeneous information to predict drug-target interactions by Soh, Jihee, Park, Sejin, Lee, Hyunju

“…Identification of drug-target interactions (DTIs) plays a crucial role in drug development. Traditional laboratory-based DTI discovery is generally costly and…”
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Impact of Public Health Interventions on Seasonal Influenza Activity During the COVID-19 Outbreak in Korea by 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

“…Abstract Background Coronavirus disease 2019 (COVID-19) was introduced in Korea early with a large outbreak in mid-February. We reviewed the public health…”
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Super.FELT: supervised feature extraction learning using triplet loss for drug response prediction with multi-omics data by Park, Sejin, Soh, Jihee, Lee, Hyunju

“…Predicting the drug response of a patient is important for precision oncology. In recent studies, multi-omics data have been used to improve the prediction…”
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Prediction of the 3D cancer genome from whole-genome sequencing using InfoHiC by Lee, Yeonghun, Park, Sung-Hye, Lee, Hyunju

“…The 3D genome prediction in cancer is crucial for uncovering the impact of structural variations (SVs) on tumorigenesis, especially when they are present in…”
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PINNet: a deep neural network with pathway prior knowledge for Alzheimer's disease by Kim, Yeojin, Lee, Hyunju

“…Identification of Alzheimer's Disease (AD)-related transcriptomic signatures from blood is important for early diagnosis of the disease. Deep learning…”
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SDGCCA: Supervised Deep Generalized Canonical Correlation Analysis for Multi-Omics Integration by Moon, Sehwan, Hwang, Jeongyoung, Lee, Hyunju

“…Integration of multi-omics data provides opportunities for revealing biological mechanisms related to certain phenotypes. We propose a novel method of…”
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A computational approach to identifying gene-microRNA modules in cancer by Jin, Daeyong, Lee, Hyunju

“…MicroRNAs (miRNAs) play key roles in the initiation and progression of various cancers by regulating genes. Regulatory interactions between genes and miRNAs…”
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Meta-analysis of pain relief effects by laser irradiation on joint areas by Jang, Ho, Lee, Hyunju

“…Laser therapy has been proposed as a physical therapy for musculoskeletal disorders and has attained popularity because no side effects have been reported…”
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A Study on Optimization of Noise Reduction of Powered Vehicle Seat Movement Using Brushless Direct-Current Motor by Lee, Hyunju, Ko, Dongshin, Nam, Jaehyeon

“…In this paper, an optimal design model was developed to reduce noise and secure the torque performance of a brushless direct-current motor used in the seat of…”
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Cancer-Stimulated CAFs Enhance Monocyte Differentiation and Protumoral TAM Activation via IL6 and GM-CSF Secretion by 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

“…Abstract Purpose: M2-type TAMs are increasingly implicated as a crucial factor promoting metastasis. Numerous cell types dictate monocyte differentiation into…”
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