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Pattern Discovery in Bioinformatics: Theory & Algorithms (Chapman & Hall/CRC Mathematical & Computational Biology)

Format Post in Biomedical BY Laxmi Parida

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The author of Pattern Discovery in Bioinformatics: Theory & Algorithms (Chapman & Hall/CRC Mathematical & Computational Biology) is Laxmi Parida The computational methods of bioinformatics are being used more and more to process the large volume of current biological Promoting an understanding of the underlying biology that produces this data, Pattern Discovery in Bioinformatics: Theory and Algorithms provides the tools to study regularities in biological Taking a systematic approach to pattern discovery, the book supplies sound mathematical definitions and efficient algorithms to explain vital information about biological It explores various data patterns, including strings, clusters, permutations, topology, partial orders, and boolean Each of these classes captures a different form of regularity in the data, providing possible answers to a wide range of The book also reviews basic statistics, including probability, information theory, and the central limit This self-contained book provides a solid foundation in computational methods, enabling the solution of difficult biological.This title is available at BookMoving on Laxmi Parida's eBooks, .Pattern Discovery in Bioinformatics: Theory ... Textbook, course, ebook, pdf, download at bookmoving .

Pattern Discovery in Bioinformatics: Theory & Algorithms (Chapman & Hall/CRC Mathematical & Computational Biology)

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