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检索条件"机构=Interdisciplinary Program in Bioinformatics"
175 条 记 录,以下是11-20 订阅
排序:
Comprehensive and critical evaluation of individualized pathway activity measurement tools on pan-cancer data (vol 21, bby097, 2018)
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BRIEFINGS IN bioinformatics 2020年 第3期21卷 1118-1118页
作者: Lim, Sangsoo Lee, Sangseon Jung, Inuk Rhee, Sungmin Kim, Sun Interdisciplinary Program in Bioinformatics Seoul National University Seoul Korea Department of Computer Science and Engineering Seoul National University Seoul Korea Bioinformatics Institute Seoul National University Seoul Korea Department of Computer Science and Engineering Seoul National University Seoul Korea Interdisciplinary Program in Bioinformatics Seoul National University Seoul Korea Department of Computer Science and Engineering Seoul National University Seoul Korea Bioinformatics Institute Seoul National University Seoul Korea Corresponding author: Sun Kim Interdisciplinary Program in Bioinformatics Department of Computer Science and Engineering and Bioinformatics Institute Seoul National University Seoul 08826 Korea. Tel.: +82-2-880-7280 Fax: +82-2-888-9623 Email: sunkim.bioinfo@snu.ac.kr
Motivation Biological pathways are extensively used for the analysis of transcriptome data to characterize biological mechanisms underlying various phenotypes. There are a number of computational tools that summarize... 详细信息
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Biomedical data and AI
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Science China Life Sciences 2025年 第5期68卷 1536-1540页
作者: Hao Xu Shibo Zhou Zefeng Zhu Vincenzo Vitelli Liangyi Chen Ziwei Dai Ning Yang Luhua Lai Shengyong Yang Sergey Ovchinnikov Zhuoran Qiao Sirui Liu Chen Song Jianfeng Pei Han Wen Jianfeng Feng Yaoyao Zhang Zhengwei Xie Yang-Yu Liu Zhiyuan Li Fulai Jin Hao Li Mohammad Lotfollahi Xuegong Zhang Ge Yang Shihua Zhang Ge Gao Pulin Li Qi Liu Jing-Dong Jackie Han Peking-Tsinghua Center for Life Sciences (CLS) Academy for Advanced Interdisciplinary StudiesPeking University Center for Quantitative Biology (CQB) Academy for Advanced Interdisciplinary StudiesPeking University Peking University-Tsinghua University-National Institute of Biological Sciences Joint Graduate Program Academy for Advanced Interdisciplinary StudiesPeking University Department of Physics University of Chicago School of Life Sciences Southern University of Science and Technology Peking University Chengdu Academy for Advanced Interdisciplinary Biotechnologies College of Chemistry and Molecular Engineering Peking University Department of Biotherapy Cancer Center and State Key Laboratory of BiotherapyWest China HospitalSichuan University Department of Biology Massachusetts Institute of Technology Lambic Therapeutics Inc. Changping Laboratory Al for Science Institute Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence Fudan University Department of Obstetrics and Gynecology West China Second University HospitalSichuan University Peking University International Cancer Institute and Peking University-Yunnan Baiyao International Medical Institute and State Key Laboratory of Natural and Biomimetic Drugs Department of Molecular and Cellular PharmacologySchool of Pharmaceutical SciencesPeking University Health Science CenterPeking University Channing Division of Network Medicine Department of MedicineBrigham and Women's Hospital and Harvard Medical School Center for Artificial Intelligence and Modeling the Carl R.Woese Institute for Genomic BiologyUniversity of Illinois Urbana-Champaign Department of Genetics and Genome Sciences School of Medicine and Department of Computer and Data Sciences and Department of Population and Quantitative Health SciencesCase Western Reserve University Department of Biochemistry and Biophysics University of California Sanger Institute Department of Automation Tsinghua University State Key Laboratory of Multimodal Artificial Intelligence Systems I
The development of artificial intelligence(AI) and the mining of biomedical data complement each other. From the direct use of computer vision results to analyze medical images for disease screening, to now integratin...
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Modeling the causal regulatory network by integrating chromatin accessibility and transcriptome data
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National Science Review 2016年 第2期3卷 240-251页
作者: Yong Wang Rui Jiang Wing Hung Wong Department of Statistics Department of Biomedical Data ScienceBio-X ProgramStanford University Academy of Mathematics and Systems Science National Center for Mathematics and Interdisciplinary SciencesChinese Academy of Sciences MOE Key Laboratory of Bioinformatics Bioinformatics Division and Center for Synthetic and Systems BiologyTNLISTDepartment of AutomationTsinghua University
Cell packs a lot of genetic and regulatory information through a structure known as chromatin,*** is wrapped around histone proteins and is tightly packed in a remarkable *** express a gene in a specific coding region... 详细信息
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Uncertainty Quantification and Statistical Inference for Biologically Informed Neural Networks
Uncertainty Quantification and Statistical Inference for Bio...
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2024 IEEE International Conference on bioinformatics and Biomedicine, BIBM 2024
作者: Goo, Taewan Lee, Chanhee Shin, Sangyeon Kim, Haeyoung Park, Taesung Seoul National University Interdisciplinary Program in Bioinformatics Seoul Korea Republic of Seoul National University Department of Statistics Seoul Korea Republic of
In precision medicine, deep learning models play an important role in identifying relevant biomarkers and making predictions for the early diagnosis and prognosis of diseases. While successful in developing accurate p... 详细信息
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Confidence Interval Estimation for Machine Learning Models in Forecasting Infectious Diseases
Confidence Interval Estimation for Machine Learning Models i...
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2024 IEEE International Conference on bioinformatics and Biomedicine, BIBM 2024
作者: Goo, Taewan Han, Kyulhee Song, Hanbyul Park, Jiwon Liu, Zhe Oh, Jooha Jose, Sayooj Aby Park, Taesung Seoul National University Interdisciplinary Program in Bioinformatics Seoul Korea Republic of Seoul National University Department of Statistics Seoul Korea Republic of
Forecasting models have been instrumental in managing the COVID-19 pandemic by facilitating efficient resource distribution and proper interventions. Although various forecasting models - such as mathematical models, ... 详细信息
来源: 评论
Discovering peptides and computational investigations of a multiepitope vaccine target Mycobacterium tuberculosis
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Synthetic and Systems Biotechnology 2024年 第3期9卷 391-405页
作者: Truc Ly Nguyen Heebal Kim Department of Agricultural Biotechnology and Research Institute of Agriculture and Life Sciences Seoul National UniversitySeoul08826Republic of Korea Interdisciplinary Program in Bioinformatics Seoul National UniversitySeoul08826Republic of Korea eGnome Inc.Seoul05836Republic of Korea
Mycobacterium tuberculosis(MTB)is the causative agent of tuberculosis(TB),a prevalent airborne infectious *** the availability of the Bacille Calmette-Guerin vaccine,its global efficacy remains modest,and tuberculosis... 详细信息
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LOCOS: A cosine based local gene expression pattern finding algorithm on time-series data
LOCOS: A cosine based local gene expression pattern finding ...
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2024 IEEE International Conference on Big Data, BigData 2024
作者: Suk, Youjeong Jeon, Jaemin Jung, Inuk Kyungpook National University School of Computer Science and Engineering Daegu Korea Republic of Seoul National University Interdisciplinary Program in Bioinformatics Seoul Korea Republic of
In gene expression analysis, understanding a biological event that is observed at some time instance often requires capturing genes whose expression levels modulate before and after the event. Such genes are expected ... 详细信息
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Learn2Evade: Learning-based generative model for evading PDF malware classifiers
IEEE Transactions on Artificial Intelligence
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IEEE Transactions on Artificial Intelligence 2021年 第4期2卷 299-313页
作者: Bae, Ho Lee, Younghan Kim, Yohan Hwang, Uiwon Yoon, Sungroh Paek, Yunheung Department of Cyber Security EwhaWomans University Seoul03760 Korea Republic of Department of Electrical and Computer Engineering Seoul National University Seoul08826 Korea Republic of Department of Electrical and Computer Engineering Interdisciplinary Program in Bioinformatics Interdisciplinary Program in Artificial Intelligence Automation and Systems Research Institute Institute of NewMedia and Communications Institute of Engineering Research Seoul National University Seoul08826 Korea Republic of
Recent research has shown that a small perturbation to an input may forcibly change the prediction of a machine learning (ML) model. Such variants are commonly referred to as adversarial examples. Early studies have f... 详细信息
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Genome-wide association analysis with matched samples discloses additional novel risk loci
Genome-wide association analysis with matched samples disclo...
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IEEE International Conference on bioinformatics and Biomedicine
作者: Jungsoo Gim Sungkyoung Choi Jongho Im Jae-Kwang Kim Taesung Park Interdisciplinary program for Bioinformatics and Department of Statistics Seoul National University Interdisciplinary program for Bioinformatics Seoul National University Department of Statistics Iowa State University
Genome-wide association studies have identified many candidate causal variants associated with common complex diseases and traits, but most of them have been drawn from nonrandomized case/control designs. In nonrandom... 详细信息
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Author Correction: AIVariant: a deep learning-based somatic variant detector for highly contaminated tumor samples
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Experimental & molecular medicine 2025年 第1期57卷 284页
作者: Hyeonseong Jeon Junhak Ahn Byunggook Na Soona Hong Lee Sael Sun Kim Sungroh Yoon Daehyun Baek Interdisciplinary Program in Bioinformatics Seoul National University Seoul Republic of Korea. Genome4me Inc. Seoul Republic of Korea. School of Biological Sciences Seoul National University Seoul Republic of Korea. Department of Electrical and Computer Engineering Seoul National University Seoul Republic of Korea. AIGENDRUG Co. Ltd. Seoul Republic of Korea. Department of Software and Computer Engineering Ajou University Suwon Republic of Korea. Department of Computer Science and Engineering Seoul National University Seoul Republic of Korea. Interdisciplinary Program in Artificial Intelligence Seoul National University Seoul Republic of Korea. Interdisciplinary Program in Bioinformatics Seoul National University Seoul Republic of Korea. baek@snu.ac.kr. Genome4me Inc. Seoul Republic of Korea. baek@snu.ac.kr. School of Biological Sciences Seoul National University Seoul Republic of Korea. baek@snu.ac.kr. Interdisciplinary Program in Artificial Intelligence Seoul National University Seoul Republic of Korea. baek@snu.ac.kr.
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