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检索条件"机构=Interdisciplinary Program in Bioinformatics"
176 条 记 录,以下是91-100 订阅
Network-Based Metric Space for Phenotypic Stratification of Samples Using Transcriptome Profiles
Research Square
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Research Square 2021年
作者: Sung, Inyoung Lee, Dohoon Lee, Sangseon Kim, Sun Interdisciplinary Program in Bioinformatics Seoul National University Seoul Korea Republic of BK21 FOUR Intelligence Computing Seoul National University Seoul Korea Republic of Department of Computer Science and Engineering Seoul National University Seoul Korea Republic of Institute of Engineering Research Seoul National University Seoul Korea Republic of Bioinformatics Institute Seoul National University Seoul Korea Republic of
With the advancements of high-throughput sequencing technology, several recent studies addressed the clinical/phenotypic stratification of samples by utilizing transcriptome data. However, existing stratification meth... 详细信息
来源: 评论
Bag of Tricks for Electrocardiogram Classification With Deep Neural Networks
Bag of Tricks for Electrocardiogram Classification With Deep...
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Computers in Cardiology (CinC)
作者: Seonwoo Min Hyun-Soo Choi Hyeongrok Han Minji Seo Jin-Kook Kim Junsang Park Sunghoon Jung Il-Young Oh Byunghan Lee Sungroh Yoon Seoul National University Seoul South Korea T3K SK Telecom Seoul South Korea HUINNO Co. Ltd. Seoul South Korea Division of Cardiology Seoul National University Bundang Hospital Seongnam South Korea Seoul National University of Science and Technology Seoul South Korea Interdisciplinary Program in Bioinformatics Interdisciplinary Program in Artificial Intelligence ASRI INMC Institute of Engineering Research Seoul National University Seoul South Korea
Recent algorithmic advances in electrocardiogram (ECG) classification are largely contributed to deep learning. However, these methods are still based on a relatively straightforward application of deep neural network... 详细信息
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Inference of Mixed Graphical Models for Dichotomous Phenotypes using Markov Random Field Model
arXiv
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arXiv 2022年
作者: Park, Jaehyun Won, Sungho Interdisciplinary Program in Bioinformatics College of Natural Sciences Seoul National University Seoul Korea Republic of Department of Public Health Sciences Seoul National University Seoul Korea Republic of Institute of Health and Environment Seoul National University Seoul Korea Republic of RexSoft Corp Seoul Korea Republic of
Summary: In this article, we propose a new method named fused mixed graphical model (FMGM), which can infer network structures for dichotomous phenotypes. We assumed that the interplay of different omics markers is as... 详细信息
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A probabilistic model for pathway-guided gene set selection
A probabilistic model for pathway-guided gene set selection
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IEEE International Conference on bioinformatics and Biomedicine (BIBM)
作者: Inyoung Kim Sangseon Lee Youngkuk Kim Hugh Namkoong Sun Kim Artificial Intelligence Institute Seoul National University Seoul Korea Institute of Computer Technology Seoul National University Seoul Korea Seoul National University Seoul Korea Institute of Engineering Research Seoul National University Seoul Korea Interdisciplinary Program in Bioinformatics Seoul National University Seoul Korea
Breast cancer is classified into five intrinsic subtypes, with differing treatment methods and prognoses. Therefore, accurate identification of subtypes from patient transcriptome data is essential. Many gene signatur... 详细信息
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Sparse Structure Learning via Graph Neural Networks for Inductive Document Classification
arXiv
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arXiv 2021年
作者: Piao, Yinhua Lee, Sangseon Lee, Dohoon Kim, Sun Department of Computer Science and Engineering Seoul National University Korea Republic of Institute of Computer Technology Seoul National University Korea Republic of Bioinformatics Institute Seoul National University Korea Republic of AIGENDRUG Co. Ltd Interdisciplinary Program in Artificial Intelligence Seoul National University Korea Republic of
Recently, graph neural networks (GNNs) have been widely used for document classification. However, most existing methods are based on static word co-occurrence graphs without sentence-level information, which poses th... 详细信息
来源: 评论
Human endogenous retroviruses (HERVs) associated with glioblastoma risk and prognosis
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Cancer Gene Therapy 2025年 1-11页
作者: Mazumder, Harun Lin, Hui-Yi Baddoo, Melody Gałan, Wojciech Polania-Villanueva, Diana Hicks, Chindo Otohinoyi, David Peruzzi, Francesca Madeja, Zbigniew Belancio, Victoria P. Flemington, Erik K. Reiss, Krzysztof Rak, Monika Biostatistics Program Louisiana State University Health Sciences Center School of Public Health New Orleans LA United States Louisiana Cancer Research Center New Orleans LA United States Tulane Cancer Center Tulane Health Sciences Center New Orleans LA United States Stanley S. Scott Cancer Center Louisiana State University Health Sciences Center New Orleans LA United States Department of Genetics and the Bioinformatics and Genomics Program Louisiana State University Health Sciences Center School of Medicine New Orleans LA United States Department of Medicine Louisiana State University Health Sciences Center School of Medicine New Orleans LA United States Department of Cell Biology Jagiellonian University in Kraków Faculty of Biochemistry Biophysics and Biotechnology Kraków Poland Department of Structural and Cellular Biology Tulane University School of Medicine New Orleans LA United States Department of Pathology and Laboratory Medicine Tulane University School of Medicine New Orleans LA United States Department of Interdisciplinary Oncology Louisiana State University Health Sciences Center School of Medicine New Orleans LA United States
Emerging evidence suggests expression from human endogenous retrovirus (HERV) loci likely contributes to, or is a biomarker of, glioblastoma multiforme (GBM) disease progression. However, the relationship between HERV...
来源: 评论
OrthoANI: an improved algorithm and software for genome-based species definition of Bacteria and Archaea
OrthoANI: an improved algorithm and software for genome-base...
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第七届全国微生物资源学术暨国际微生物系统与分类学研讨会
作者: Imchang Lee YeongOuk Kim Sang-Cheol Park Jongsik Chun Interdisciplinary Program in Bioinformatics Seoui National UniversitySeoul 151-742Republic of Korea Interdisciplinary Program in Bioinformatics Seoui National UniversitySeoul 151-742Republic of Korea School of Biological SciencesSeoui National UniversitySeoul 151-742Republic of Korea Institute of Molecular Biology & Genetics Seoui National University Seoul 151-742Republic of Korea Institute of Molecular Biology & Genetics Seoui National UniversitySeoul 151-742Republic of Korea School of Biological Sciences Seoui National UniversitySeoul 151-742Republic of Korea Institute of Molecular Biology & Genetics Seoui National University Seoul 151-742Republic of Korea
In genome era,average nucleotide identity(ANI)is the "gold standard" of prokaryotic taxonomy to delineation of *** is a mean of nucleotide identity between conserved regions shared by two *** introdu... 详细信息
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Post-COVID-19 Effects on Chronic Gastritis and Gastric Cellular and Molecular Characteristics in Male Mice
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Cellular and Molecular Gastroenterology and Hepatology 2025年 第8期19卷 101511-101511页
作者: Jeong, Haengdueng Kim, Sung-Hee Kim, Jiseon Jeon, Donghun Uhm, Chanyang Oh, Heeju Cho, Kyungrae Park, In Ho Oh, Jooyeon Kim, Jeong Jin Jeong, Sang-Ho Park, Ji-Ho Park, Jun Won Yun, Jun-Won Seo, Jun-Young Shin, Jeon-Soo Goldenring, James R. Seong, Je Kyung Nam, Ki Taek Department of Biomedical Sciences Brain Korea 21 PLUS Project for Medical Science Yonsei University College of Medicine Seoul South Korea Epithelial Biology Center and Department of Surgery Vanderbilt University School of Medicine Nashville TN United States Institute of Immunology and Immunological Diseases Yonsei University College of Medicine Seoul South Korea Department of Microbiology Yonsei University College of Medicine Seoul South Korea Department of Surgery Gyongsang National University Hospital Jinju South Korea Korea Mouse Phenotyping Center Seoul National University Seoul South Korea Laboratory of Developmental Biology and Genomics Research Institute for Veterinary Science Brain Korea 21 PLUS Program for Creative Veterinary Science Research College of Veterinary Medicine Seoul National University Seoul South Korea Laboratory Animal Medicine College of Veterinary Medicine Seoul National University Seoul South Korea Laboratory of Veterinary Toxicology College of Veterinary Medicine Seoul National University Seoul South Korea BIO-MAX Institute Seoul National University Seoul South Korea Interdisciplinary Program for Bioinformatics Seoul National University Seoul South Korea
Backgrounds & Aims: Since the Omicron variant emerged as a major severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variant, COVID-19-associated mortality has decreased remarkably. Nevertheless, patients... 详细信息
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Computational approach to identify enzymes that are potential therapeutic candidates for psoriasis
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Enzyme Research 2011年 第1期2011卷 826784页
作者: Park, Daeui Jeong, Hyoung Oh Kim, Byoung-Chul Ha, Young Mi Young Chung, Hae Interdisciplinary Research Program of Bioinformatics and Longevity Science Pusan National University Kumjeong-Gu Busan 609-735 South Korea Molecular Inflammation Research Center for Aging Intervention (MRCA) College of Pharmacy Pusan National University Kumjeong-Gu Busan 609-735 South Korea
Psoriasis is well known as a chronic inflammatory dermatosis. The disease affects persons of all ages and is a burden worldwide. Psoriasis is associated with various diseases such as arthritis. The disease is characte...
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DNA steganalysis using deep recurrent neural networks
arXiv
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arXiv 2017年
作者: Bae, Ho Lee, Byunghan Kwon, Sunyoung Yoon, Sungroh Interdisciplinary Program in Bioinformatics Seoul National University Seoul08826 Electrical and Computer Engineering Seoul National University Seoul08826 Electronic and IT Media Engineering Seoul National University of Science and Technology Seoul01811 Korea Republic of Clova AI Research NAVER Corp. Seongnam13561 ASRI INMC Seoul National University Seoul08826
Recent advances in next-generation sequencing technologies have facilitated the use of deoxyribonucleic acid (DNA) as a novel covert channels in steganography. There are vari-ous methods that exist in other domains to... 详细信息
来源: 评论