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Outlines and Highlights for Data Mining for Genomics and Proteomics

Outlines and Highlights for Data Mining for Genomics and Proteomics
Author: Cram101 Textbook Reviews
Publisher: Academic Internet Pub Incorporated
Total Pages: 104
Release: 2011-04
Genre: Computers
ISBN: 9781614613671

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Never HIGHLIGHT a Book Again! Virtually all of the testable terms, concepts, persons, places, and events from the textbook are included. Cram101 Just the FACTS101 studyguides give all of the outlines, highlights, notes, and quizzes for your textbook with optional online comprehensive practice tests. Only Cram101 is Textbook Specific. Accompanys: 9780470163733 .


Fundamentals of Data Mining in Genomics and Proteomics

Fundamentals of Data Mining in Genomics and Proteomics
Author: Werner Dubitzky
Publisher: Springer Science & Business Media
Total Pages: 300
Release: 2007-04-13
Genre: Science
ISBN: 0387475095

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This book presents state-of-the-art analytical methods from statistics and data mining for the analysis of high-throughput data from genomics and proteomics. It adopts an approach focusing on concepts and applications and presents key analytical techniques for the analysis of genomics and proteomics data by detailing their underlying principles, merits and limitations.


Studyguide for Data Mining for Genomics and Proteomics

Studyguide for Data Mining for Genomics and Proteomics
Author: Cram101 Textbook Reviews
Publisher: Cram101
Total Pages: 88
Release: 2013-05
Genre:
ISBN: 9781490237183

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Never HIGHLIGHT a Book Again Includes all testable terms, concepts, persons, places, and events. Cram101 Just the FACTS101 studyguides gives all of the outlines, highlights, and quizzes for your textbook with optional online comprehensive practice tests. Only Cram101 is Textbook Specific. Accompanies: 9780872893795. This item is printed on demand.


Rechnergestützte Konstruktionsarbeit

Rechnergestützte Konstruktionsarbeit
Author: Siegfried Schreuder
Publisher:
Total Pages: 187
Release: 1989
Genre: Computer-aided design
ISBN: 9780387516608

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Data Mining for Genomics and Proteomics

Data Mining for Genomics and Proteomics
Author: Darius M. Dziuda
Publisher: John Wiley & Sons
Total Pages: 348
Release: 2010-07-16
Genre: Computers
ISBN: 0470593407

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Data Mining for Genomics and Proteomics uses pragmatic examples and a complete case study to demonstrate step-by-step how biomedical studies can be used to maximize the chance of extracting new and useful biomedical knowledge from data. It is an excellent resource for students and professionals involved with gene or protein expression data in a variety of settings.


Data Analysis and Visualization in Genomics and Proteomics

Data Analysis and Visualization in Genomics and Proteomics
Author: Francisco Azuaje
Publisher: John Wiley & Sons
Total Pages: 284
Release: 2005-06-24
Genre: Science
ISBN: 0470094400

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Data Analysis and Visualization in Genomics and Proteomics is the first book addressing integrative data analysis and visualization in this field. It addresses important techniques for the interpretation of data originating from multiple sources, encoded in different formats or protocols, and processed by multiple systems. One of the first systematic overviews of the problem of biological data integration using computational approaches This book provides scientists and students with the basis for the development and application of integrative computational methods to analyse biological data on a systemic scale Places emphasis on the processing of multiple data and knowledge resources, and the combination of different models and systems


Introduction to Data Mining for the Life Sciences

Introduction to Data Mining for the Life Sciences
Author: Rob Sullivan
Publisher: Springer Science & Business Media
Total Pages: 644
Release: 2012-01-07
Genre: Science
ISBN: 1597452904

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Data mining provides a set of new techniques to integrate, synthesize, and analyze tdata, uncovering the hidden patterns that exist within. Traditionally, techniques such as kernel learning methods, pattern recognition, and data mining, have been the domain of researchers in areas such as artificial intelligence, but leveraging these tools, techniques, and concepts against your data asset to identify problems early, understand interactions that exist and highlight previously unrealized relationships through the combination of these different disciplines can provide significant value for the investigator and her organization.


Data Mining and Applications in Genomics

Data Mining and Applications in Genomics
Author: Sio-Iong Ao
Publisher: Springer Science & Business Media
Total Pages: 159
Release: 2008-09-25
Genre: Computers
ISBN: 1402089759

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Data Mining and Applications in Genomics contains the data mining algorithms and their applications in genomics, with frontier case studies based on the recent and current works at the University of Hong Kong and the Oxford University Computing Laboratory, University of Oxford. It provides a systematic introduction to the use of data mining algorithms as an investigative tool for applications in genomics. Data Mining and Applications in Genomics offers state of the art of tremendous advances in data mining algorithms and applications in genomics and also serves as an excellent reference work for researchers and graduate students working on data mining algorithms and applications in genomics.


Biological Data Mining

Biological Data Mining
Author: Jake Y. Chen
Publisher: CRC Press
Total Pages: 736
Release: 2009-09-01
Genre: Computers
ISBN: 1420086855

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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 interdisciplin