Pattern Discovery In Biomolecular Data

Autor: Jason T. L. Wang
Publisher: Oxford University Press
ISBN: 9780198028062
File Size: 77,60 MB
Format: PDF, ePub, Mobi
Read: 1567
Download or Read Book
Finding patterns in biomolecular data, particularly in DNA and RNA, is at the center of modern biological research. These data are complex and growing rapidly, so the search for patterns requires increasingly sophisticated computer methods. Pattern Discovery in Biomolecular Data provides a clear, up-to-date summary of the principal techniques. Each chapter is self-contained, and the techniques are drawn from many fields, including graph theory, information theory, statistics, genetic algorithms, computer visualization, and vision. Since pattern searches often benefit from multiple approaches, the book presents methods in their purest form so that readers can best choose the method or combination that fits their needs. The chapters focus on finding patterns in DNA, RNA, and protein sequences, finding patterns in 2D and 3D structures, and choosing system components. This volume will be invaluable for all workers in genomics and genetic analysis, and others whose research requires biocomputing.

Data Mining Patterns

Autor: Pascal Poncelet
Publisher: Information Science Publishing
ISBN: 9781599041629
File Size: 76,91 MB
Format: PDF, Docs
Read: 3843
Download or Read Book
"This book provides an overall view of recent solutions for mining, and explores new patterns,offering theoretical frameworks and presenting challenges and possible solutions concerning pattern extractions, emphasizing research techniques and real-world applications. It portrays research applications in data models, methodologies for mining patterns, multi-relational and multidimensional pattern mining, fuzzy data mining, data streaming and incremental mining"--Provided by publisher.


Autor: James Andrew Storer
Publisher: IEEE
ISBN: 9780769518961
File Size: 69,23 MB
Format: PDF, Kindle
Read: 4616
Download or Read Book
DCC is international conference for current work on data compression for text, images, video, audio, and related areas. The proceedings cover topics such as lossless and lossy compression algorithms for specific types of data, source coding, joint source-channel coding, multiple description coding, quantization theory, vector quantization, encoding with wavelets, bi-level image compression, video compression, source coding in multiple access networks, parallel compression algorithms and hardware, and fractal based methods.