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Statistical Methods in Bioinformatics

Overview of attention for book
Cover of 'Statistical Methods in Bioinformatics'

Table of Contents

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    Book Overview
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    Chapter 1 Probability Theory (i): One Random Variable
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    Chapter 2 Probability Theory (ii): Many Random Variables
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    Chapter 3 Statistics (i): An Introduction to Statistical Inference
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    Chapter 4 Stochastic Processes (i): Poisson Processes and Markov Chains
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    Chapter 5 The Analysis of One DNA Sequence
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    Chapter 6 The Analysis of Multiple DNA or Protein Sequences
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    Chapter 7 Stochastic Processes (ii): Random Walks
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    Chapter 8 Statistics (ii): Classical Estimation Theory
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    Chapter 9 Statistics (iii): Classical Hypothesis Testing Theory
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    Chapter 10 BLAST
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    Chapter 11 Stochastic Processes (iii): Markov Chains
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    Chapter 12 Hidden Markov Models
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    Chapter 13 Gene Expression, Microarrays, and Multiple Testing
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    Chapter 14 Evolutionary Models
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    Chapter 15 Phylogenetic Tree Estimation
Attention for Chapter 4: Stochastic Processes (i): Poisson Processes and Markov Chains
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