Fundamentals of Data Mining in Genomics and Proteomics
Title | Fundamentals of Data Mining in Genomics and Proteomics PDF eBook |
Author | Werner Dubitzky |
Publisher | Springer Science & Business Media |
Pages | 300 |
Release | 2007-04-13 |
Genre | Science |
ISBN | 0387475095 |
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.
Fundamentals Of Data Mining In Genomics And Proteomics
Title | Fundamentals Of Data Mining In Genomics And Proteomics PDF eBook |
Author | Dubitzky Werner Et.Al |
Publisher | |
Pages | 304 |
Release | 2008-12-01 |
Genre | |
ISBN | 9788184891911 |
Rechnergestützte Konstruktionsarbeit
Title | Rechnergestützte Konstruktionsarbeit PDF eBook |
Author | Siegfried Schreuder |
Publisher | |
Pages | 187 |
Release | 1989 |
Genre | Computer-aided design |
ISBN | 9780387516608 |
Data Mining for Genomics and Proteomics
Title | Data Mining for Genomics and Proteomics PDF eBook |
Author | Darius M. Dziuda |
Publisher | John Wiley & Sons |
Pages | 348 |
Release | 2010-07-16 |
Genre | Computers |
ISBN | 0470593407 |
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.
Outlines and Highlights for Data Mining for Genomics and Proteomics
Title | Outlines and Highlights for Data Mining for Genomics and Proteomics PDF eBook |
Author | Cram101 Textbook Reviews |
Publisher | Academic Internet Pub Incorporated |
Pages | 104 |
Release | 2011-04 |
Genre | Computers |
ISBN | 9781614613671 |
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 .
Introduction to Data Mining for the Life Sciences
Title | Introduction to Data Mining for the Life Sciences PDF eBook |
Author | Rob Sullivan |
Publisher | Springer Science & Business Media |
Pages | 644 |
Release | 2012-01-07 |
Genre | Science |
ISBN | 1597452904 |
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 in Proteomics
Title | Data Mining in Proteomics PDF eBook |
Author | Michael Hamacher |
Publisher | Humana Press |
Pages | 0 |
Release | 2010-11-02 |
Genre | Science |
ISBN | 9781607619864 |
Through the rapid development of proteomics methods and technologies, an enormous amount of data was created, leading to a wide-spread rethinking of strategy design and data interpretation. In Data Mining in Proteomics: From Standards to Applications, experts in the field present these new insights within the proteomics community, taking the historical evolution as well as the most important international standardization projects into account. Along with basic and sophisticated overviews of proteomics technologies, standard data formats, and databases, the volume features chapters on data interpretation strategies including statistics, spectra interpretation, and analysis environments as well as specialized tasks such as data annotation, peak picking, phosphoproteomics, spectrum libraries, LC/MS imaging, and splice isoforms. As a part of the highly successful Methods in Molecular BiologyTM series, this work provides the kind of detailed description and implementation advice that is crucial for getting optimal results. Authoritative and cutting-edge, Data Mining in Proteomics: From Standards to Applications is a well-balanced compendium for beginners and experts, offering a broad scope of data mining topics but always focusing on the current state-of-the-art and beyond.