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《生物统计及生物信息学前沿（英文版）》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《生物统计及生物信息学前沿（英文版）》的出版能够推动此方向的研究。
Preface to the USTC Alumnis 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
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