A01=Laxmi Parida
advanced statistical modelling
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Age Group_Uncategorized
Author_Laxmi Parida
automatic-update
biological data mining
boolean
Boolean Expression
Category1=Non-Fiction
Category=PS
Compact Lists
Complete Binary Tree
computational genomics
COP=United Kingdom
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Density Constraint
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eq_non-fiction
eq_science
expression
Extensible Patterns
function
Homologous Sets
information theory applications
Input Graph
Input Sequences
Language_English
Leaf Nodes
Location List
mass
mathematical pattern recognition in bioinformatics
maximal
Maximal Motifs
Maximal Pattern
motif detection algorithms
Motif Profile
Nontrivial Interval
PA=Temporarily unavailable
Partial Order
patterns
permutation
Permutation Pattern
Price_€50 to €100
probability
PS=Active
Random Permutation
Random Trial
Rigid Pattern
sequence analysis techniques
Sequence Si
softlaunch
Solid Characters
string
String Patterns
Suffix Tree
Topological Motifs
tree
V2 V3 V4
Product details
- ISBN 9780367388898
- Weight: 898g
- Dimensions: 156 x 234mm
- Publication Date: 09 Apr 2020
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Paperback
- Language: English
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The computational methods of bioinformatics are being used more and more to process the large volume of current biological data. Promoting an understanding of the underlying biology that produces this data, Pattern Discovery in Bioinformatics: Theory and Algorithms provides the tools to study regularities in biological data.
Taking a systematic approach to pattern discovery, the book supplies sound mathematical definitions and efficient algorithms to explain vital information about biological data. It explores various data patterns, including strings, clusters, permutations, topology, partial orders, and boolean expressions. Each of these classes captures a different form of regularity in the data, providing possible answers to a wide range of questions. The book also reviews basic statistics, including probability, information theory, and the central limit theorem.
This self-contained book provides a solid foundation in computational methods, enabling the solution of difficult biological questions.
Parida, Laxmi
