图书介绍
生物统计学和生物信息学最新进展 英文PDF|Epub|txt|kindle电子书版本网盘下载
- 范剑青，林希虹，刘军主编 著
- 出版社： 北京：高等教育出版社
- ISBN：9787040247558
- 出版时间：2008
- 标注页数：280页
- 文件大小：23MB
- 文件页数：291页
- 主题词：生物统计－文集－英文；生物信息论－文集－英文
PDF下载
下载说明
生物统计学和生物信息学最新进展 英文PDF格式电子书版下载
下载的文件为RAR压缩包。需要使用解压软件进行解压得到PDF格式图书。建议使用BT下载工具Free Download Manager进行下载,简称FDM(免费,没有广告,支持多平台）。本站资源全部打包为BT种子。所以需要使用专业的BT下载软件进行下载。如BitComet qBittorrent uTorrent等BT下载工具。迅雷目前由于本站不是热门资源。不推荐使用！后期资源热门了。安装了迅雷也可以迅雷进行下载！
（文件页数 要大于 标注页数，上中下等多册电子书除外）
注意：本站所有压缩包均有解压码： 点击下载压缩包解压工具
图书目录
Part Ⅰ Analysis of Survival and Longitudinal Data3
Chapter 1 Non-and Semi-Parametric Modeling in Survival Analysis Jianqing Fan,Jiancheng Jiang3
1 Introduction3
2 Cox's type of models4
3 Multivariate Cox's type of models14
4 Model selection on Cox's models24
5 Validating Cox's type of models27
6 Transformation models28
7 Concluding remarks30
References30
Chapter 2 Additive-Accelerated Rate Model for Recurrent Event Donglin Zeng,Jianwen Cai35
1 Introduction35
2 Inference procedure and asymptotic properties37
3 Assessing additive and accelerated covariates40
4 Simulation studies41
5 Application42
6 Remarks43
Acknowledgements44
Appendix44
References48
Chapter 3 An Overview on Quadratic Inference Function Approaches for Longitudinal Data John J.Dziak,Runze Li,Annie Qu49
1 Introduction49
2 The quadratic inference function approach51
3 Penalized quadratic inference function56
4 Some applications of QIF60
5 Further research and concluding remarks65
Acknowledgements68
References68
Chapter 4 Modeling and Analysis of Spatially Correlated Data Yi Li73
1 Introduction73
2 Basic concepts of spatial process76
3 Spatial models for non-normal/discrete data82
4 Spatial models for censored outcome data88
5 Concluding remarks96
References96
Part Ⅱ Statistical Methods for Epidemiology103
Chapter 5 Study Designs for Biomarker-Based Treatment Selection Amy Laird,Xiao-Hua Zhou103
1 Introduction103
2 Definition of study designs104
3 Test of hypotheses and sample size calculation108
4 Sample size calculation111
5 Numerical comparisons of efficiency116
6 Conclusions118
Acknowledgements121
Appendix122
References126
Chapter 6 Statistical Methods for Analyzing Two-Phase Studies Jinbo Chen127
1 Introduction127
2 Two-phase case-control or cross-sectional studies130
3 Two-phase designs in cohort studies136
4 Conclusions149
References151
Part Ⅲ Bioinformatics159
Chapter 7 Protein Interaction Predictions from Diverse Sources Yin Liu,Inyoung Kim,Hongyu Zhao159
1 Introduction159
2 Data sources useful for protein interaction predictions161
3 Domain-based methods163
4 Classification methods169
5 Complex detection methods172
6 Conclusions175
Acknowledgements175
References175
Chapter 8 Regulatory Motif Discovery:From Decoding to Meta-Analysis Qing Zhou,Mayetri Gupta179
1 Introduction179
2 A Bayesian approach to motif discovery181
3 Discovery of regulatory modules184
4 Motif discovery in multiple species189
5 Motif learning on ChIP-chip data195
6 Using nucleosome positioning information in motif discovery201
7 Conclusion204
References205
Chapter 9 Analysis of Cancer Genome Alterations Using Single Nucleotide Polymorphism(SNP)Microarrays Cheng Li,Samir Amin209
1 Background209
2 Loss of heterozygosity analysis using SNP arrays212
3 Copy number analysis using SNP arrays216
4 High-level analysis using LOH and copy number data224
5 Software for cancer alteration analysis using SNP arrays229
6 Prospects231
Acknowledgements231
References231
Chapter 10 Analysis of ChIP-chip Data on Genome Tiling Microarrays W.Evan Johnson,Jun S.Liu,X.Shirley Liu239
1 Background molecular biology239
2 A ChIP-chip experiment241
3 Data description and analysis244
4 Follow-up analysis249
5 Conclusion254
References254
Subject Index259
Author Index261