生物统计及生物信息学前沿

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

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。