描述
开 本: 16开纸 张: 胶版纸包 装: 平装是否套装: 否国际标准书号ISBN: 9787312022289丛书名: 当代科学技术基础理论与前沿问题研究丛书
内容简介
作为现代科学的一个重要分支，生物统计和生物信息学运用统计、数学和计算机科学的方法研究生物及医学问题。在本书中，收录了15篇文章介绍生物统计和生物信息学中统计方法的*进展。由于篇幅有限，着重介绍了高维数据分析方法及其应用。和统计学的其他分支相比，高维数据分析方法及其应用还处在相对初级阶段，希望本书的出版能够推动此方向的研究。
目 录
Preface to the USTC Alumni’s Series
From the Editors Shuangge Ma & Yuedong Wang
Preface Shaw-Hwa Lo
Section Ⅰ Statistical Genetics
Linkage Analysis with Mixed Sample of Affected Full and Half Sib Pairs in the Presence of Uncertain Relationship
Sequential Importance Sampling with Resampling in Molecular Population Genetics
Multiple-trait Quantitative Trait Loci Mapping Using Stochastic Search Variable Selection
Section Ⅱ Statistical Analysis of Microarray Data Statistical Analysis of Microarray Time Course Gene Expression Data with Functional Hierarchical Models
A Nonparametric Method for the Conservative Estimation of the Proportion of True Null Hypotheses
Partial Consistent Normalization Methods of Microarray Data
Variance Estimation for Gene-expression Microarray Data
Section Ⅲ Computational Biology
A Study of Protein Subcellular Localization Prediction
Computational Methods for Biomolecular Sequence Comparison
Statistical Learning on a Complex Metabolomic Dataset
A Flexible Statistical Model for Chromatin Sequences
Section Ⅳ General Methodology
Some Advances in Finite Mixture Models
Smoothing Spline ANOVA with Heterogeneous Variances and Application to
Kernel Estimation in Longitudinal Data with Outcome-related Observation Times
A Computable Bound for the Geometric Convergence Rate of the Lasso Gibbs Sampler
Brief Introduction of Authors
From the Editors Shuangge Ma & Yuedong Wang
Preface Shaw-Hwa Lo
Section Ⅰ Statistical Genetics
Linkage Analysis with Mixed Sample of Affected Full and Half Sib Pairs in the Presence of Uncertain Relationship
Sequential Importance Sampling with Resampling in Molecular Population Genetics
Multiple-trait Quantitative Trait Loci Mapping Using Stochastic Search Variable Selection
Section Ⅱ Statistical Analysis of Microarray Data Statistical Analysis of Microarray Time Course Gene Expression Data with Functional Hierarchical Models
A Nonparametric Method for the Conservative Estimation of the Proportion of True Null Hypotheses
Partial Consistent Normalization Methods of Microarray Data
Variance Estimation for Gene-expression Microarray Data
Section Ⅲ Computational Biology
A Study of Protein Subcellular Localization Prediction
Computational Methods for Biomolecular Sequence Comparison
Statistical Learning on a Complex Metabolomic Dataset
A Flexible Statistical Model for Chromatin Sequences
Section Ⅳ General Methodology
Some Advances in Finite Mixture Models
Smoothing Spline ANOVA with Heterogeneous Variances and Application to
Kernel Estimation in Longitudinal Data with Outcome-related Observation Times
A Computable Bound for the Geometric Convergence Rate of the Lasso Gibbs Sampler
Brief Introduction of Authors
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