1 option
Bioinformatics in human health and heredity / edited by R. Chakraborty, C. R. Rao, P. K. Sen.
- Format:
- Book
- Series:
- Handbook of statistics ; v. 28.
- Handbook of statistics ; 28
- Language:
- English
- Subjects (All):
- Bioinformatics.
- Biology--Research.
- Physical Description:
- 1 online resource (613 p.)
- Edition:
- 1st ed.
- Place of Publication:
- Amsterdam ; Boston : Elsevier / NH, 2012.
- Language Note:
- English
- Summary:
- The field of statistics not only affects all areas of scientific activity, but also many other matters such as public policy. It is branching rapidly into so many different subjects that a series of handbooks is the only way of comprehensively presenting the various aspects of statistical methodology, applications, and recent developments. The Handbook of Statistics, a series of self-contained reference books. Each volume is devoted to a particular topic in statistics with Volume 28 dealing with bioinformatics. Every chapter is written by prominent workers in the area to which the vo
- Contents:
- Handbook of Statistics; Copyright; Table of Contents; Preface; Contributors; Introduction: Wither Bioinformatics in Human Health and Heredity; 1. Introduction; 2. Sciences dealing with biological information and rationale of their integration; 3. Goals and major research areas of bioinformatics; 4. Why bioinformatics is so important and open areas of research; 4.1 Importance; 4.2 Open research areas; References; Section A: Theme - Microarray Analysis; Bayesian Methods for Microarray Data; 1. Introduction; 1.1 Gene expression; 1.2 Various array technologies; 1.3 Image analysis
- 1.4 Normalization2. Literature review; 2.1 Log-normal models; 2.2 Hierarchical mixture models; 2.3 Nonparametric models; 3. Hierarchical models for microarray analysis; 3.1 Bayesian model for combining scans; 3.2 Bayesian model for identifying differential expression; 4. Embryonic maize tissue development; 4.1 Applying the models; 4.2 Results; 5. Conclusion; 6. Appendix; References; Statistical Analysis of Gene Expression Studies with Ordered Experimental Conditions; 1. Introduction; 2. ``Short-series'' time-course data; 2.1 Pairwise comparisons between time points
- 2.2 Analysis of variance and related procedures2.3 Multiple testing; 2.4 Classification and clustering procedures; 2.5 Procedures based on correlation with model profiles; 2.6 Procedures based on regression models; 2.7 Procedures that utilize order-restricted inference; 3. ``Long series'' time-course data for cyclic and developmental processes; 3.1 Approaches based on a simple cosine curve; 3.2 Single-pulse model; 3.3 Random periods model; 3.4 First-order differential equation model for developmental processes; 3.5 A shape-invariant spline approach; 3.6 Analysis of phase angles
- 4. Concluding remarksReferences; Meta-Analysis of High Throughput Oncology Data; 1. Introduction; 1.1 Integrative analysis; 1.2 Microarray data repositories; 2. Case study; 2.1 Data collection and pre-processing; 2.1.1 Desmedt dataset; 2.1.2 Miller dataset; 2.1.3 Pawitan dataset; 2.1.4 van de Vijver dataset; 2.1.5 Bild dataset; 2.2 Survival analysis; 2.3 Pathway analysis; 2.3.1 The maxmean statistic; 2.3.2 Determining the univariate p-value; 2.3.3 Multiple testing control; 2.3.4 Generalized Šidàk method; 2.3.5 Pathway risk index; 2.4 Meta-analysis; 2.5 Case study results
- 2.6 Case study conclusions3. Discussion; 4. Conclusions; References; Section B: Theme - Analytical Methods; A Statistical Appraisal of Biomarker Selection Methods Applicable to HIV/AIDS Research; 1. Introduction; 2. Biomarker definitions; 3. HIV infection biomarker review; 4. Statistical screening methods for biomarker selection; 5. Causal inference approaches for biomarker selection; 5.1 G-computation; 5.2 Inverse probability weighting; 5.2.1 Propensity score; 5.2.2 IPTW methodology; 5.3 Doubly robust (DR) estimator; 6. Targeted maximum likelihood estimation
- 7. Classifier performance assessed by ROC curve
- Notes:
- Description based upon print version of record.
- Includes bibliographical references and index.
- ISBN:
- 1-283-70004-2
- 0-08-093098-0
- OCLC:
- 811507590
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.