Data Mining in Bioinformatics
Editat de Jason T L Wang, Mohammed J Zaki, Hannu Toivonen, Dennis Shashaen Limba Engleză Hardback – 18 oct 2004
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Specificații
ISBN-13: 9781852336714
ISBN-10: 1852336714
Pagini: 340
Ilustrații: XII, 340 p. 110 illus.
Dimensiuni: 163 x 241 x 21 mm
Greutate: 0.61 kg
Ediția:2005 edition
Editura: SPRINGER LONDON
Locul publicării:London, United Kingdom
ISBN-10: 1852336714
Pagini: 340
Ilustrații: XII, 340 p. 110 illus.
Dimensiuni: 163 x 241 x 21 mm
Greutate: 0.61 kg
Ediția:2005 edition
Editura: SPRINGER LONDON
Locul publicării:London, United Kingdom
Public țintă
ResearchCuprins
Overview.- to Data Mining in Bioinformatics.- Survey of Biodata Analysis from a Data Mining Perspective.- Sequence and Structure Alignment.- AntiClustAl: Multiple Sequence Alignment by Antipole Clustering.- RNA Structure Comparison and Alignment.- Biological Data Mining.- Piecewise Constant Modeling of Sequential Data Using Reversible Jump Markov Chain Monte Carlo.- Gene Mapping by Pattern Discovery.- Predicting Protein Folding Pathways.- Data Mining Methods for a Systematics of Protein Subcellular Location.- Mining Chemical Compounds.- Biological Data Management.- Phyloinformatics: Toward a Phylogenetic Database.- Declarative and Efficient Querying on Protein Secondary Structures.- Scalable Index Structures for Biological Data.
Caracteristici
No known book on this area First book containing the work of key researchers in biological data mining Presents new techniques on (a) gene expression data mining, (b) gene mapping for disease detection, and (c) phylogenetic knowledge discovery, which are of increasing importance but are absent in all previously published books in the area of computational biology Organized around the major themes of modern biology: sequence studies, proteomics and developmental biology - these are core areas of present and future research Includes supplementary material: sn.pub/extras