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وصف كتب مصر
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.
Introduces the fundamentals in Bayesian methods of analysis for applications
to high-throughput gene expression data. Provides an extensive review of
Bayesian analysis and advanced topics for Bioinformatics, including examples
that extensively detail the necessary applications. 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.