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Design And Analysis Of Dna Microarray Investigations

Author: Richard M. Simon
Publisher: Springer Science & Business Media
ISBN: 0387218661
Size: 43.99 MB
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The analysis of gene expression profile data from DNA micorarray studies are discussed in this book. It provides a review of available methods and presents it in a manner that is intelligible to biologists. It offers an understanding of the design and analysis of experiments utilizing microarrays to benefit scientists. It includes an Appendix tutorial on the use of BRB-ArrayTools and step by step analyses of several major datasets using this software which is available from the National Cancer Institute.

All Of Statistics

Author: Larry Wasserman
Publisher: Springer Science & Business Media
ISBN: 0387217363
Size: 27.15 MB
Format: PDF, Mobi
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Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.

Analyzing Ecological Data

Author: Alain Zuur
Publisher: Springer Science & Business Media
ISBN: 0387459723
Size: 43.36 MB
Format: PDF, Docs
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This book provides a practical introduction to analyzing ecological data using real data sets. The first part gives a largely non-mathematical introduction to data exploration, univariate methods (including GAM and mixed modeling techniques), multivariate analysis, time series analysis, and spatial statistics. The second part provides 17 case studies. The case studies include topics ranging from terrestrial ecology to marine biology and can be used as a template for a reader’s own data analysis. Data from all case studies are available from www.highstat.com. Guidance on software is provided in the book.

Fundamentals Of Food Biotechnology

Author: Byong H. Lee
Publisher: John Wiley & Sons
ISBN: 1118384911
Size: 35.64 MB
Format: PDF, ePub
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Food biotechnology is the application of modern biotechnologicaltechniques to the manufacture and processing of food, for examplethrough fermentation of food (which is the oldest biotechnologicalprocess) and food additives, as well as plant and animal cellcultures. New developments in fermentation and enzyme technologicalprocesses, molecular thermodynamics, genetic engineering, proteinengineering, metabolic engineering, bioengineering, and processesinvolving monoclonal antibodies, nanobiotechnology and quorumsensing have introduced exciting new dimensions to foodbiotechnology, a burgeoning field that transcends many scientificdisciplines. Fundamentals of Food Biotechnology, 2nd edition is basedon the author’s 25 years of experience teaching on a foodbiotechnology course at McGill University in Canada. The book willappeal to professional food scientists as well as graduate andadvanced undergraduate students by addressing the latest excitingfood biotechnology research in areas such as genetically modifiedfoods (GMOs), bioenergy, bioplastics, functionalfoods/nutraceuticals, nanobiotechnology, quorum sensing andquenching. In addition, cloning techniques for bacterial and yeastenzymes are included in a “New Trends and Tools”section and selected references, questions and answers appear atthe end of each chapter. This new edition has been comprehensively rewritten andrestructured to reflect the new technologies, products and trendsthat have emerged since the original book. Many new aspectshighlight the short and longer term commercial potential of foodbiotechnology.

Analysing Ecological Data

Author: Alain F. Zuur
Publisher: Springer Science & Business Media
ISBN:
Size: 26.37 MB
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This book provides a practical introduction to analyzing ecological data using real data sets. It features 17 case studies covering topics ranging from terrestrial ecology to marine biology and can be used as a template for a reader’s own data analysis.

Genomics In Endocrinology

Author: Stuart Handwerger
Publisher: Springer Science & Business Media
ISBN: 9781597453097
Size: 10.87 MB
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Genomics in Endocrinology focuses on exciting new advances in endocrinology resulting from DNA microarray studies and includes a comprehensive introduction to the use of DNA microarrays in endocrinology. The text provides the basis for further understanding of the usefulness of microarray analyses in endocrinology research. Topics discussed include the methodology of DNA microarrays and general methods for the analysis of microarray data.

Dna Methylation Microarrays

Author: Sun-Chong Wang
Publisher: CRC Press
ISBN: 9781420067286
Size: 10.29 MB
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Providing an interface between dry-bench bioinformaticians and wet-lab biologists, DNA Methylation Microarrays: Experimental Design and Statistical Analysis presents the statistical methods and tools to analyze high-throughput epigenomic data, in particular, DNA methylation microarray data. Since these microarrays share the same underlying principles as gene expression microarrays, many of the analyses in the text also apply to microarray-based gene expression and histone modification (ChIP-on-chip) studies. After introducing basic statistics, the book describes wet-bench technologies that produce the data for analysis and explains how to preprocess the data to remove systematic artifacts resulting from measurement imperfections. It then explores differential methylation and genomic tiling arrays. Focusing on exploratory data analysis, the next several chapters show how cluster and network analyses can link the functions and roles of unannotated DNA elements with known ones. The book concludes by surveying the open source software (R and Bioconductor), public databases, and other online resources available for microarray research. Requiring only limited knowledge of statistics and programming, this book helps readers gain a solid understanding of the methodological foundations of DNA microarray analysis.