DUBLIN--(BUSINESS WIRE)--
Research and Markets (http://www.researchandmarkets.com/research/18fa24/bayesian_analysis)
has announced the addition of John Wiley and Sons Ltd's new report "Bayesian
Analysis of Gene Expression Data" to their offering.
The field of high-throughput genetic experimentation is evolving
rapidly, with the advent of new technologies and new venues for data
mining. Bayesian methods play a role central to the future of data and
knowledge integration in the field of Bioinformatics. This book is
devoted exclusively to Bayesian methods of analysis for applications to
high-throughput gene expression data, exploring the relevant methods
that are changing Bioinformatics. Case studies, illustrating Bayesian
analyses of public gene expression data, provide the backdrop for
students to develop analytical skills, while the more experienced
readers will find the review of advanced methods challenging and
attainable.
This book:
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Introduces the fundamentals in Bayesian methods of analysis for
applications to high-throughput gene expression data.
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Provides an extensive review of Bayesian analysis and advanced topics
for Bioinformatics, including examples that extensively detail the
necessary applications.
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Accompanied by website featuring datasets, exercises and solutions.
Bayesian
Analysis of Gene Expression Data offers a unique introduction to
both Bayesian analysis and gene expression, aimed at graduate students
in Statistics, Biomedical Engineers, Computer Scientists,
Biostatisticians, Statistical Geneticists, Computational Biologists,
applied Mathematicians and Medical consultants working in genomics.
Bioinformatics researchers from many fields will find much value in this
book.
Key Topics Covered:
Table of Notation:
1 Bioinformatics and Gene Expression Experiments
2 Basic Biology
3 Bayesian Linear Models for Gene Expression
4 Bayesian Multiple Testing and False Discovery Rate Analysis
5 Bayesian Classification for Microarray Data
6 Bayesian Hypothesis Inference for Gene Classes
7 Unsupervised Classification and Bayesian Clustering
8 Bayesian Graphical Models
9 Advanced Topics
For more information visit http://www.researchandmarkets.com/research/18fa24/bayesian_analysis
