Fundamentals of Statistical Bioinformatics

Fundamentals of Statistical Bioinformatics

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"Fundamentals of Statistical Bioinformatics" provides an understanding of biological mechanisms and presents the most current techniques to analyze data obtained through different technologies. This book offers the foundations of mathematics, statistics, biology, and computer science needed to understand the methods presented in the text. Developing concepts from the introductory to the advanced level, the text provides detailed coverage of modern analytical techniques such as Markov chain Monte Carlo (MCMC) and Bayesian methods. It also addresses useful Web-based tools like CDART and provides a working knowledge of the R language and the codes available for analyzing sequences.
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Product details

  • Hardback | 400 pages
  • 152 x 229mm
  • Taylor & Francis Ltd
  • Chapman & Hall/CRC
  • United States
  • English
  • 100 black & white illustrations
  • 1584886552
  • 9781584886556

About Sunil K. Mathur

University of Mississippi, University, USA BioSciences Laboratories, Inc., Bozeman, Montana, USA The MITRE Corporation, Bedford, Massachusetts, USA
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Table of contents

Genes. Microarrays. Probability and Statistical Theory. Distributions, Properties, and Applications. Statistical Inference and Applications. Nonparametric Statistics. Bayesian Statistics. MCMC Method. Survival Analysis. Sampling Theory and Applications. Design of Experiments. Screening Designs. Taguchi Designs. Online Tools: BLAST, FASTA, ENTREZ, MAPVIEWER, BAMARRAY, SAM, ORIGEN, and Applications. Language: R. Techniques for the Identification of Expressed Genes.
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