Data Mining For Genomics And Proteomics
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Author | : Werner Dubitzky |
Publisher | : Springer Science & Business Media |
Total 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.
Author | : Darius M. Dziuda |
Publisher | : John Wiley & Sons |
Total 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.
Author | : Hui-Huang Hsu |
Publisher | : IGI Global |
Total Pages | : 343 |
Release | : 2006-01-01 |
Genre | : Computers |
ISBN | : 1591408636 |
"This book covers research topics of data mining on bioinformatics presenting the basics and problems of bioinformatics and applications of data mining technologies pertaining to the field"--Provided by publisher.
Author | : Li, Xiao-Li |
Publisher | : IGI Global |
Total Pages | : 450 |
Release | : 2009-05-31 |
Genre | : Technology & Engineering |
ISBN | : 1605663999 |
"The goal of this book is to disseminate research results and best practices from cross-disciplinary researchers and practitioners interested in, and working on bioinformatics, data mining, and proteomics"--Provided by publisher.
Author | : Hiroshi Mamitsuka |
Publisher | : Humana |
Total Pages | : 243 |
Release | : 2019-08-04 |
Genre | : Science |
ISBN | : 9781493993260 |
This fully updated book collects numerous data mining techniques, reflecting the acceleration and diversity of the development of data-driven approaches to the life sciences. The first half of the volume examines genomics, particularly metagenomics and epigenomics, which promise to deepen our knowledge of genes and genomes, while the second half of the book emphasizes metabolism and the metabolome as well as relevant medicine-oriented subjects. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detail and expert implementation advice that is useful for getting optimal results. Authoritative and practical, Data Mining for Systems Biology: Methods and Protocols, Second Edition serves as an ideal resource for researchers of biology and relevant fields, such as medical, pharmaceutical, and agricultural sciences, as well as for the scientists and engineers who are working on developing data-driven techniques, such as databases, data sciences, data mining, visualization systems, and machine learning or artificial intelligence that now are central to the paradigm-altering discoveries being made with a higher frequency.
Author | : Gil Alterovitz |
Publisher | : John Wiley & Sons |
Total Pages | : 306 |
Release | : 2011-04-20 |
Genre | : Medical |
ISBN | : 1119995833 |
There is an increasing need throughout the biomedical sciences for a greater understanding of knowledge-based systems and their application to genomic and proteomic research. This book discusses knowledge-based and statistical approaches, along with applications in bioinformatics and systems biology. The text emphasizes the integration of different methods for analysing and interpreting biomedical data. This, in turn, can lead to breakthrough biomolecular discoveries, with applications in personalized medicine. Key Features: Explores the fundamentals and applications of knowledge-based and statistical approaches in bioinformatics and systems biology. Helps readers to interpret genomic, proteomic, and metabolomic data in understanding complex biological molecules and their interactions. Provides useful guidance on dealing with large datasets in knowledge bases, a common issue in bioinformatics. Written by leading international experts in this field. Students, researchers, and industry professionals with a background in biomedical sciences, mathematics, statistics, or computer science will benefit from this book. It will also be useful for readers worldwide who want to master the application of bioinformatics to real-world situations and understand biological problems that motivate algorithms.
Author | : Jake Y. Chen |
Publisher | : CRC Press |
Total Pages | : 736 |
Release | : 2009-09-01 |
Genre | : Computers |
ISBN | : 1420086855 |
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
Author | : Samantha Fowler |
Publisher | : |
Total Pages | : 0 |
Release | : 2023-05-12 |
Genre | : |
ISBN | : 9781739015503 |
Black & white print. Concepts of Biology is designed for the typical introductory biology course for nonmajors, covering standard scope and sequence requirements. The text includes interesting applications and conveys the major themes of biology, with content that is meaningful and easy to understand. The book is designed to demonstrate biology concepts and to promote scientific literacy.
Author | : N Saraswathy |
Publisher | : Elsevier |
Total Pages | : 271 |
Release | : 2011-07-01 |
Genre | : Science |
ISBN | : 1908818050 |
Concepts and techniques in genomics and proteomics covers the important concepts of high-throughput modern techniques used in the genomics and proteomics field. Each technique is explained with its underlying concepts, and simple line diagrams and flow charts are included to aid understanding and memory. A summary of key points precedes each chapter within the book, followed by detailed description in the subsections. Each subsection concludes with suggested relevant original references. - Provides definitions for key concepts - Case studies are included to illustrate ideas - Important points to remember are noted
Author | : Jason T. L. Wang |
Publisher | : Springer Science & Business Media |
Total Pages | : 356 |
Release | : 2005 |
Genre | : Computers |
ISBN | : 9781852336714 |
Written especially for computer scientists, all necessary biology is explained. Presents new techniques on gene expression data mining, gene mapping for disease detection, and phylogenetic knowledge discovery.