咨询与建议

限定检索结果

文献类型

  • 125 篇 期刊文献
  • 50 篇 会议

馆藏范围

  • 175 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 75 篇 工学
    • 34 篇 生物工程
    • 32 篇 计算机科学与技术...
    • 27 篇 软件工程
    • 20 篇 生物医学工程(可授...
    • 10 篇 化学工程与技术
    • 8 篇 信息与通信工程
    • 5 篇 环境科学与工程(可...
    • 3 篇 控制科学与工程
    • 3 篇 建筑学
    • 2 篇 光学工程
    • 2 篇 交通运输工程
  • 73 篇 理学
    • 57 篇 生物学
    • 19 篇 化学
    • 15 篇 数学
    • 4 篇 统计学(可授理学、...
    • 3 篇 物理学
    • 2 篇 海洋科学
    • 2 篇 生态学
  • 42 篇 医学
    • 25 篇 临床医学
    • 16 篇 基础医学(可授医学...
    • 15 篇 药学(可授医学、理...
    • 9 篇 公共卫生与预防医...
  • 35 篇 农学
    • 18 篇 作物学
  • 18 篇 管理学
    • 10 篇 图书情报与档案管...
    • 5 篇 管理科学与工程(可...
    • 3 篇 公共管理
    • 2 篇 工商管理
  • 2 篇 经济学
    • 2 篇 应用经济学
  • 2 篇 法学
    • 1 篇 法学
    • 1 篇 社会学

主题

  • 10 篇 bioinformatics
  • 9 篇 genomics
  • 7 篇 deep learning
  • 5 篇 gene expression
  • 5 篇 proteins
  • 5 篇 training
  • 4 篇 cancer
  • 4 篇 big data
  • 4 篇 drugs
  • 4 篇 graphics process...
  • 4 篇 predictive model...
  • 4 篇 machine learning
  • 4 篇 biological syste...
  • 4 篇 proteomics
  • 4 篇 diseases
  • 3 篇 covid-19
  • 3 篇 conferences
  • 3 篇 reliability
  • 3 篇 neural networks
  • 3 篇 data mining

机构

  • 21 篇 interdisciplinar...
  • 11 篇 department of st...
  • 10 篇 interdisciplinar...
  • 6 篇 university of co...
  • 5 篇 leeds institute ...
  • 5 篇 center for psych...
  • 5 篇 department of in...
  • 5 篇 institute for pa...
  • 5 篇 department of st...
  • 5 篇 university of pi...
  • 5 篇 arnie charbonnea...
  • 5 篇 ilsbio llc bioba...
  • 5 篇 department of mo...
  • 5 篇 osaka internatio...
  • 5 篇 research departm...
  • 5 篇 department of ve...
  • 5 篇 royal stoke univ...
  • 5 篇 biomedical engin...
  • 5 篇 department of ex...
  • 5 篇 victorian instit...

作者

  • 29 篇 taesung park
  • 12 篇 min-seok kwon
  • 9 篇 kim sun
  • 8 篇 heebal kim
  • 8 篇 yoon sungroh
  • 7 篇 park taesung
  • 7 篇 sungyoung lee
  • 6 篇 lee sangseon
  • 5 篇 junghyun namkung
  • 5 篇 bae ho
  • 5 篇 kang jaewoo
  • 5 篇 kyunga kim
  • 5 篇 yongkang kim
  • 5 篇 sun kim
  • 4 篇 young jin kim
  • 4 篇 seoae cho
  • 4 篇 jong-young lee
  • 4 篇 seungyeoun lee
  • 4 篇 sungroh yoon
  • 3 篇 son hyeon s.

语言

  • 172 篇 英文
  • 2 篇 其他
  • 1 篇 中文
检索条件"机构=Interdisciplinary Program in Bioinformatics"
175 条 记 录,以下是41-50 订阅
排序:
APPROXIMATE BAYESIAN INFERENCE OF DIRECTED ACYCLIC GRAPHS IN BIOLOGY WITH FLEXIBLE PRIORS ON EDGE STATES
arXiv
收藏 引用
arXiv 2019年
作者: Martin, Evan A. Fu, Audrey Qiuyan The Bioinformatics and Computational Biology Program University of Idaho United States The Bioinformatics and Computational Biology Program Department of Mathematics and Statistical Science Institute for Modeling Collaboration and Innovation Institute for Interdisciplinary Data Sciences University of Idaho United States
Graphical models or networks describe the statistical dependence among multiple variables and are widely used in biology (e.g., gene regulatory networks). Under appropriate assumptions, directed edges may represent ca... 详细信息
来源: 评论
Gene-gene interaction analysis for the survival phenotype based on the standardized residuals from parametric regression models
Gene-gene interaction analysis for the survival phenotype ba...
收藏 引用
IEEE International Conference on bioinformatics and Biomedicine Workshops (BIBMW)
作者: Seungyeoun Lee Jinseok Oh Min-Seok Kwon Taesung Park Department of Mathematics and Statistics Sejong University South Korea Interdisciplinary Program in Bioinformatics Seoul National University Seoul South Korea
Most of statistical methods in genome-wide association studies (GWAS) have been developed to identify SNP-SNP interactions using a binary phenotype for case-control studies. However, there is an interest in identifyin... 详细信息
来源: 评论
Towards High Generalization Performance on Electrocardiogram Classification
Towards High Generalization Performance on Electrocardiogram...
收藏 引用
2021 Computing in Cardiology, CinC 2021
作者: Han, Hyeongrok Park, Seongjae Min, Seonwoo Choi, Hyun-Soo Kim, Eunji Kim, Hyunki Park, Sangha Kim, Jinkook Park, Junsang An, Junho Lee, Kwanglo Jeong, Wonsun Chon, Sangil Ha, Kwonwoo Han, Myungkyu Yoon, Sungroh Department of Electrical and Computer Engineering Seoul National University Seoul Korea Republic of HUINNO Co. Ltd Seoul Korea Republic of LG AI Research Seoul Korea Republic of Department of Computer Science and Engineering Kangwon National University Chuncheon Korea Republic of Department of Biological Sciences Interdisciplinary Program in Bioinformatics Interdisciplinary Program in Artificial Intelligence ASRI INMC Institute of Engineering Research Seoul National University Seoul Korea Republic of
Recently, many electrocardiogram (ECG) classification algorithms using deep learning have been proposed. The characteristics of ECG vary from dataset to dataset for various reasons (i.e., hospital, race, etc.). Theref... 详细信息
来源: 评论
GxG-Viztool: A program for visualizing gene-gene interactions in genetic association analysis
GxG-Viztool: A program for visualizing gene-gene interaction...
收藏 引用
IEEE International Conference on bioinformatics and Biomedicine Workshops (BIBMW)
作者: Kyunga Kim Min-Seok Kwon Sung Young Lee Junghyun Namkung Ming D. Li Taesung Park Department of Statistics Sookmyung Womens University Seoul South Korea Interdisciplinary Program in Bioinformatics Seoul National University Seoul South Korea Department of Psychiatry and Neurobehavioral Sciences University of Virginia Charlottesville VA USA Interdisciplinary Program in Bioinformatics Department of Statistics Seoul National University Seoul South Korea
Gene-gene interactions are important factors underlying a common complex trait that is mostly polygenic. While many methods have been proposed to analyze gene-gene interactions in genetic association studies, the inte... 详细信息
来源: 评论
Confidence Interval Estimation for Machine Learning Models in Forecasting Infectious Diseases
Confidence Interval Estimation for Machine Learning Models i...
收藏 引用
IEEE International Conference on bioinformatics and Biomedicine (BIBM)
作者: Taewan Goo Kyulhee Han Hanbyul Song Jiwon Park Zhe Liu Jooha Oh Sayooj Aby Jose Taesung Park Interdisciplinary Program in Bioinformatics Seoul National University Seoul Republic of Korea Department of Statistics Seoul National University Seoul Republic of Korea
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, s... 详细信息
来源: 评论
CUDA-LR: CUDA-accelerated logistic regression analysis tool for gene-gene interaction for genome-wide association study
CUDA-LR: CUDA-accelerated logistic regression analysis tool ...
收藏 引用
IEEE International Conference on bioinformatics and Biomedicine Workshops (BIBMW)
作者: Sungyoung Lee Min-Seok Kwon Ik-Soo Huh Taesung Park Interdisciplinary Program in Bioinformatics Seoul National University Seoul South Korea Department of Statistics Seoul National University Seoul South Korea
In genome-wide association studies (GWAS), logistic regression (LR) has been most commonly used for finding an association between a disease phenotype and genetic variants such as single nucleotide polymorphism (SNP).... 详细信息
来源: 评论
Using a Recurrent Neural Network Model for Classification of Tweets Conveyed Influenza-related Information  1
Using a Recurrent Neural Network Model for Classification of...
收藏 引用
1st International Workshop on Digital Disease Detection using Social Media, DDDSM 2017, co-located with the 8th International Joint Conference on Natural Language Processing, IJCNLP 2017
作者: Wang, Chen-Kai Singh, Onkar Tang, Zhao-Li Dai, Hong-Jie Graduate Institute of Biomedical Informatics Taipei Medical University Taipei Taiwan Bioinformatics Program Taiwan International Graduate Program Institute of Information Science Academia Sinica Taipei Taiwan Institute of Biomedical Informatics National Yang-Ming University Taipei Taiwan Department of Computer Science and Information Engineering National Taitung University Taitung Taiwan Interdisciplinary Program of Green and Information Technology National Taitung University Taitung Taiwan
Traditional disease surveillance systems depend on outpatient reporting and virological test results released by hospitals. These data have valid and accurate information about emerging outbreaks but it's often no... 详细信息
来源: 评论
Identification of hyperparameters with high effects on performance of deep neural networks: application to clinicopathological data of ovarian cancer
Identification of hyperparameters with high effects on perfo...
收藏 引用
IEEE International Conference on bioinformatics and Biomedicine
作者: Suhyun Hwangbo Yong-Sang Song Se Ik Kim Taesung Park Untack Cho Interdisciplinary Program in Bioinformatics Seoul National University Department of Obstetrics and Gynecology Seoul National University College of Medicine Department of Statistics Seoul National University Interdisciplinary Program in Cancer Biology Seoul National University College of Medicine
Recent advances in deep learning have emerged as an effective approach for precision medicine. The applications of deep learning to medicine have been applied mainly to medical image data but not clinicopathological d... 详细信息
来源: 评论
Pathway based identification of rare mutation effect in cancer
Pathway based identification of rare mutation effect in canc...
收藏 引用
IEEE International Conference on bioinformatics and Biomedicine (BIBM)
作者: TaeJin Ahn Taesung Park Interdisciplinary Program in Bioinformatics Seoul National University Seoul Republic of Korea Department of statistics Seoul National University Seoul Republic of Korea
Identifying driver mutation is important in understanding disease mechanism and future application of custom tailored therapeutic decision. Functional analysis of mutational impact usually focuses on the gene expressi... 详细信息
来源: 评论
Uncertainty Quantification and Statistical Inference for Biologically Informed Neural Networks
Uncertainty Quantification and Statistical Inference for Bio...
收藏 引用
IEEE International Conference on bioinformatics and Biomedicine (BIBM)
作者: Taewan Goo Chanhee Lee Sangyeon Shin Haeyoung Kim Taesung Park Interdisciplinary Program in Bioinformatics Seoul National University Seoul Republic of Korea Department of Statistics Seoul National University Seoul Republic of Korea
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
来源: 评论