Computational intelligence in bioinformatics

The book is comprised of carefully developed and edited contributions by leading educators that explain and apply CI methods to central bioinformatics problems such as drug docking, sequence alignment, phylogenetic reconstruction, metabolic network infere.

Saved in:
Bibliographic Details
Group Author: Fogel, Gary, 1968-; Corne, David.; Pan, Yi, 1960-
Published:
Literature type: Electronic eBook
Language: English
Series: IEEE Press series on computational intelligence
Subjects:
Online Access: http://onlinelibrary.wiley.com/book/10.1002/9780470199091
Summary: The book is comprised of carefully developed and edited contributions by leading educators that explain and apply CI methods to central bioinformatics problems such as drug docking, sequence alignment, phylogenetic reconstruction, metabolic network infere.
Carrier Form: 1 online resource (xix, 355 p.) : ill.
Bibliography: Includes bibliographical references and index.
ISBN: 9780470199091 (electronic bk.)
0470199091 (electronic bk.)
9780470199084 (electronic bk.)
0470199083 (electronic bk.)
Index Number: QH324
CLC: Q811.4
Contents: Gene Expression Analysis and Systems Biology --
Hybrid of Neural Classifier and Swarm Intelligence in Multiclass Cancer Diagnosis with Gene Expression Signatures /
Classifying Gene Expression Profiles with Evolutionary Computation /
Finding Clusters in Gene Expression Data Using EvoCluster /
Gene Networks and Evolutionary Computation /
Sequence Analysis and Feature Detection --
Fuzzy-Granular Methods for Identifying Marker Genes from Microarray Expression Data /
Evolutionary Feature Selection for Bioinformatics /
Fuzzy Approaches for the Analysis CpG Island Methylation Patterns /
Molecular Structure and Phylogenetics --
Protein-Ligand Docking with Evolutionary Algorithms /
RNA Secondary Structure Prediction Employing Evolutionary Algorithms /
Machine Learning Approach for Prediction of Human Mitochondrial Proteins /
Phylogenetic Inference Using Evolutionary Algorithms /
Medicine --
Evolutionary Algorithms for Cancer Chemotherapy Optimization /
Fuzzy Ontology-Based Text Mining System for Knowledge Acquisition, Ontology Enhancement, and Query Answering from Biomedical Texts /