Pattern discovery in bioinformatics

theory & algorithms

by Laxmi Parida

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• 1 Currently reading

Published 2007 by Chapman & Hall/CRC in Boca Raton, FL .
Written in English

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Edition Notes

Statement	Laxmi Parida.
Classifications
LC Classifications	QH
The Physical Object
Pagination	526 p. :
Number of Pages	526
ID Numbers
Open Library	OL22760013M
ISBN 10	9781584885498

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Pattern Discovery in Biomolecular Data Tools, Techniques and Applications: By Jason T. Wang (Ed), Dennis Elliott Shasha (Ed), Bruce A. Shapiro (Ed) Edition 1st edition, October Format . Basics of Bioinformatics Lecture Notes of the Graduate Summer School on Bioinformatics of China Editors While the advice and information in this book are believed to be true and accurate at the .

Algorithms in Bioinformatics Lecture Notes. This note introduces the principles and algorithms from statistics, machine learning, and pattern recognition to address exciting biological problems such as .   This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, Cited by: Bioinformatics Edited Collections With the extremely energetic Jason Wang and other colleagues, I have helped co-edit two books in bioinformatics: 1. Pattern Discovery in Biomolecular Data: Tools, .

Following is the list of computational biology books sorted by title. Additions to this list would be welcome. One of the best brief introductions to bioinformatics for biologists is the Trends Guide to Bioinformatics .   Rough-Fuzzy Pattern Recognition: Applications in Bioinformatics and Medical Imaging - Ebook written by Pradipta Maji, Sankar K. Pal. Read this book using Google Play Books app on your . A comprehensible introduction to the key biological, mathematical, statistical, and computer concepts and tools behind bioinformatics. For physical scientists, the book provides a sound biological framework .