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最新进展。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。

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

  Wenquan Cui, Hong Zhang, Yaning ]Pang, Zhaohai Li

Sequential Importance Sampling with Resampling in Molecular Population

 Genetics

  Yuguo Chen

Multiple-trait Quantitative Trait Loci Mapping Using Stochastic Search Vari-

 able Selection

 Nan Lin

Section II  Statistical Analysis of Microarray Data

Statistical Analysis of Microarray Time Course Gene Expression Data with

 Functional Hierarchical Models

 Fangxin Hong

A Nonparametric Method for the Conservative Estimation of the Proportion

 of True Null Hypotheses

  Yinglei Lai

Partial Consistent Normalization Methods of Microarray Data

 Heng Peng

Variance Estimation for Gene-expression Microarray Data

  Tiejun Tong, Yuedong Wang

Section III  Computational Biology

A Study of Protein Subcellular Localization Prediction

  Huanqing Feng, Wenlong Xu, Xianghua Zhang, Ao Li, Dan Xie, Minghui

  Wang

Computational Methods for Biomolecular Sequence Comparison

  Kun-Mao Chao, Tao Jiang

Statistical Learning on a Complex Metabolomic Dataset

  Xiaodong Lin, Susan J. Siramonsy, Chris Beecher, Young Truong, S.

  Stanley Young

A Flexible Statistical Model for Chromatin Sequences

  Ji-Ping Wang, Liqun Xi

Section IV  General Methodology

Some Advances in Finite Mixture Models

  Jiahua Chen

Smoothing Spline ANOVA with Heterogeneous Variances and Application to

  EEG Data

  Wensheng Guo, Ming Dai

Kernel Estimation in Longitudinal Data with Outcome-related Observation

 Times

  Donglin Zeng, Daohai Yu

A Computable Bound for the Geometric Convergence Rate of the Lasso Gibbs

 Sampler

 Hui Zou

Brief Introduction of Authors