📖 Biological Data Mining
Wednesday, August 29, 2018 by dev
Biological Data Mining
By:Jake Y. Chen,Stefano Lonardi
Published on 2009-09-01 by CRC Press
Like a data-guzzling turbo engine, advanced data mining has been powering post-genome biological studies for two decades. Reflecting this growth, Biological Data Mining presents comprehensive data mining concepts, theories, and applications in current biological and medical research. Each chapter is written by a distinguished team of interdisciplinary data mining researchers who cover state-of-the-art biological topics. The first section of the book discusses challenges and opportunities in analyzing and mining biological sequences and structures to gain insight into molecular functions. The second section addresses emerging computational challenges in interpreting high-throughput Omics data. The book then describes the relationships between data mining and related areas of computing, including knowledge representation, information retrieval, and data integration for structured and unstructured biological data. The last part explores emerging data mining opportunities for biomedical applications. This volume examines the concepts, problems, progress, and trends in developing and applying new data mining techniques to the rapidly growing field of genome biology. By studying the concepts and case studies presented, readers will gain significant insight and develop practical solutions for similar biological data mining projects in the future.
This Book was ranked at 7 by Google Books for keyword mining.
Book ID of Biological Data Mining's Books is UrKGLrmpRZAC, Book which was written byJake Y. Chen,Stefano Lonardihave ETAG "iy2jUkRMFXc"
Book which was published by CRC Press since 2009-09-01 have ISBNs, ISBN 13 Code is 9781420086850 and ISBN 10 Code is 1420086855
Reading Mode in Text Status is true and Reading Mode in Image Status is true
Book which have "733 Pages" is Printed at BOOK under CategoryComputers
This Book was rated by Raters and have average rate at ""
This eBook Maturity (Adult Book) status is NOT_MATURE
Book was written in en
eBook Version Availability Status at PDF is true and in ePub is true
Book Preview
