| Description |
1 online resource (542 pages) |
| Series |
Chapman & Hall/CRC Mathematical & Computational Biology 16 |
|
Chapman & Hall/CRC Mathematical & Computational Biology 16
|
| Contents |
Cover; Title; Copyright; Dedication; Contents; Acknowledgments; Chapter 1: Introduction; Part I: The Fundamentals; Chapter 2: Basic Algorithmics; Chapter 3: Basic Statistics; Chapter 4: What Are Patterns?; Part II: Patterns on Linear Strings; Chapter 5: Modeling the Stream of Life; Chapter 6: String Pattern Specifications; Chapter 7: Algorithms & Pattern Statistics; Chapter 8: Motif Learning; Chapter 9: The Subtle Motif; Part III: Patterns on Meta-Data; Chapter 10: Permutation Patterns; Chapter 11: Permutation Pattern Probabilities; Chapter 12: Topological Motifs |
|
Chapter 13: Set-Theoretic Algorithmic ToolsChapter 14: Expression & Partial Order Motifs; References; Index |
| Summary |
Offers the tools to study the regularities in biological data. This book explores various data patterns, including strings, clusters, permutations, topology, partial orders, and boolean expressions. It also reviews basic statistics, including probability, information theory, and the central limit theorem |
| Notes |
Print version record |
| Subject |
Bioinformatics.
|
|
Computational biology.
|
|
Pattern recognition systems.
|
|
Pattern Recognition, Automated
|
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Computational Biology
|
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Pattern Recognition, Automated
|
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Bioinformatics
|
|
Computational biology
|
|
Pattern recognition systems
|
| Form |
Electronic book
|
| ISBN |
9781420010732 |
|
1420010735 |
|
