ISBN-10:
1586032941
ISBN-13:
9781586032944
Pub. Date:
01/01/2003
Publisher:
IOS Press, Incorporated
Artificial Intelligence and Heuristic Methods in Bioinformatics

Artificial Intelligence and Heuristic Methods in Bioinformatics

by R. Shamir, P. Frasconi

Hardcover

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Overview

The 14 papers consider how various methods in artificial intelligence are applied to problems in bioinformatics. Among the topics are statistical learning and kernel methods in bioinformatics, new machine learning methods for predicting protein topologies, multiple sequence alignments information in structure and function prediction, pattern discovery and the algorithms of surprise, the computational identification of regulatory sites in DNA sequences, computer system gene discovery for promoter structure analysis, and data acquisition and analysis in near-genome-wide expressions screening of tumor suppressor pathways using model cell lines with inducible transcription factors. There is no subject index. Annotation ©2004 Book News, Inc., Portland, OR

Product Details

ISBN-13: 9781586032944
Publisher: IOS Press, Incorporated
Publication date: 01/01/2003
Series: NATO Science Series
Pages: 256
Product dimensions: 9.66(w) x 6.54(h) x 0.82(d)

Table of Contents

Prefacev
Statistical Learning and Kernel Methods in Bioinformatics1
Neural Networks and the Prediction of Protein Structure22
Neural Networks Predict Protein Structure: Hype or Hit?34
New Machine Learning Methods for the Prediction of Protein Topologies51
Protein Folding using Contact Maps and Contact Vectors75
Multiple Sequence Alignments Information in Structure and Function Prediction83
Role Assignments: Bacterial Protein Families and Superfamilies95
Pattern Discovery and the Algorithmics of Surprise111
Techniques for Comparison, Pattern Matching and Pattern Discovery: From Sequences to Protein Topology128
Computational Identification of Regulatory Sites in DNA Sequences148
Computer System "Gene Discovery" for Promoter Structure Analysis173
Inductive Databases for Bio- and Chemo-Informatics193
Near Genome Wide Expression Screening of Tumor Suppressor Pathways using Model Cell Lines with Inducible Transcription Factors--Data Acquisition and Analysis208
Describing In-vitro Cell Proliferation and Transformation with Cellular Automata224
Author Index243

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