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  • Integrative Statistical Learning with Applications to Predicting Features of Diseases and Health.
    颁布单位：[University of Michigan] |  颁布时间：2011 |  实施时间：2011 |  学科分类：[Integrative Statistical Learning in High-dimensional Time-series Data, Host Transcriptional Responses to Respiratory Viral Pathogens, Role of Hoxa9 in Leukemic Transformation, Spectral Analysis of Temporal Pathway Activity Using Graph Lapalacian, Information Geometric Analysis of Motif Profiles in ChIP-sequencing, Predictive Modeling and Classification in High-dimensional and Temporal Data, Biomedical Engineering, Genetics, Microbiology and Immunology, Pathology, Science (General), Statistics and Numeric Data, Health Sciences, Science, Bioinformatics]
    预览  |  原文链接    [浏览：74 下载：1]
  • Statistical Methods and Analysis in Genome Wide Association Studies and Next- Generation Sequencing.
    颁布单位：[University of Michigan] |  颁布时间：2011 |  实施时间：2011 |  学科分类：[Genome-wide Association Study, Age-related Macular Degeneration, Genotype Calling and Haplotype Inference, State Space Reduction Method, Next-generation Sequencing, Genetics, Statistics and Numeric Data, Health Sciences, Science, Biostatistics]
    预览  |  原文链接    [浏览：59 下载：31]
  • Regulating Gene Expression Through DNA Mechanics: Tightly Looped DNA Represses Transcription.
    颁布单位：[University of Michigan] |  颁布时间：2010 |  实施时间：2010 |  学科分类：[DNA Mechanics, Gene Regulation, RNA Polymerase, Transcription, Cryo-Electron Microscopy, DNA Minicircles, Biomedical Engineering, Engineering (General), Mechanical Engineering, Biological Chemistry, Genetics, Molecular, Cellular and Developmental Biology, Physiology, Physics, Science (General), Engineering, Health Sciences, Science, Cellular & Molecular Biology]
    预览  |  原文链接    [浏览：109 下载：32]
  • Bayesian Modeling for High Throughput Genomic Data.
    颁布单位：[University of Michigan] |  颁布时间：2010 |  实施时间：2010 |  学科分类：[Bayesian Modeling, High Throughput Genomic Data, MCMC, ChIP-Seq, RNA-Seq, Microarray, Genetics, Public Health, Statistics and Numeric Data, Health Sciences, Science, Biostatistics]
    预览  |  原文链接    [浏览：33 下载：18]