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Methods of Microarray Data Analysis
Microarray technology is a major experimental tool for functional genomic explorations, and will continue to be a major tool throughout this decade and beyond. The recent explosion of this technology threatens to overwhelm the scientific community with massive quantities of data. Because microarray data analysis is an emerging field, very few analytical models currently exist. Methods of Microarray Data Analysis is one of the first books dedicated to this exciting new field. In a single reference, readers can learn about the most up-to-date methods ranging from data normalization, feature selection and discriminative analysis to machine learning techniques. Currently, there are no standard p...
The Fourth Trimester
A guide to help support women through post-partum healing on the physical, emotional, relational, and spiritual levels. This holistic guide offers practical advice to support women through postpartum healing on the physical, emotional, relational, and spiritual levels—and provides women with a roadmap to this very important transition that can last from a few months to a few years. Kimberly Ann Johnson draws from her vast professional experience as a doula, postpartum consultant, yoga teacher, body worker, and women’s health care advocate, and from the healing traditions of Ayurveda, traditional Chinese medicine, and herbalism—as well as her own personal experience—to cover • how you can prepare your body for birth; • how you can organize yourself and your household for the best possible transition to motherhood; • simple practices and home remedies to facilitate healing and restore energy; • how to strengthen relationships and aid the return to sex; • learning to exercise safely postpartum; • carrying your baby with comfort; • exploring the complex and often conflicting emotions that arise postpartum; • and much more.
Methods of Microarray Data Analysis III
As microarray technology has matured, data analysis methods have advanced as well. Methods Of Microarray Data Analysis III is the third book in this pioneering series dedicated to the existing new field of microarrays. While initial techniques focused on classification exercises (volume I of this series), and later on pattern extraction (volume II of this series), this volume focuses on data quality issues. Problems such as background noise determination, analysis of variance, and errors in data handling are highlighted. Three tutorial papers are presented to assist with a basic understanding of underlying principles in microarray data analysis, and twelve new papers are highlighted analyzing the same CAMDA'02 datasets: the Project Normal data set or the Affymetrix Latin Square data set. A comparative study of these analytical methodologies brings to light problems, solutions and new ideas. This book is an excellent reference for academic and industrial researchers who want to keep abreast of the state of art of microarray data analysis.
A Practical Approach to Microarray Data Analysis
In the past several years, DNA microarray technology has attracted tremendous interest in both the scientific community and in industry. With its ability to simultaneously measure the activity and interactions of thousands of genes, this modern technology promises unprecedented new insights into mechanisms of living systems. Currently, the primary applications of microarrays include gene discovery, disease diagnosis and prognosis, drug discovery (pharmacogenomics), and toxicological research (toxicogenomics). Typical scientific tasks addressed by microarray experiments include the identification of coexpressed genes, discovery of sample or gene groups with similar expression patterns, identi...
Methods of Microarray Data Analysis II
Microarray technology is a major experimental tool for functional genomic explorations, and will continue to be a major tool throughout this decade and beyond. The recent explosion of this technology threatens to overwhelm the scientific community with massive quantities of data. Because microarray data analysis is an emerging field, very few analytical models currently exist. Methods of Microarray Data Analysis II is the second book in this pioneering series dedicated to this exciting new field. In a single reference, readers can learn about the most up-to-date methods, ranging from data normalization, feature selection, and discriminative analysis to machine learning techniques. Currently,...
Bear Facts
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Plunkett's Companion to the Almanac of American Employers 2006: The Only Complete Guide to the Hottest, Fastest-Growing Mid-Sized Employers
This new volume contains profiles of nearly 500 of the best, rapidly-growing mid-size employers of 100 to 2,500 employees. These are highly-successful companies, located nationwide, that are of vital importance to job-seekers of all types.
Shark Biology and Conservation
Enhanced by hundreds of original color photographs and beautifully detailed line drawings, Shark Biology and Conservation will appeal to anyone who is spellbound by this wondrous, ecologically important, and threatened group, including marine biologists, wildlife educators, students, and shark enthusiasts.
Shadow Traffic
A St. Louis Post-Dispatch Favorite Book of 2011 The New York Times Book Review has praised Richard Burgin’s stories as “eerily funny . . . dexterous . . . too haunting to be easily forgotten,” while the Philadelphia Inquirer calls him “one of America’s most distinctive storytellers . . . no one of his generation reports the contemporary war between the sexes with more devastating wit and accuracy.” Now, in Shadow Traffic, his seventh collection of stories, five-time Pushcart Prize winner Richard Burgin gives us his most incisive, witty, and daring collection to date as he explores the mysteries of love and identity, ambition and crime, and our ceaseless, if ambivalent, quest for ...
Genomics and Proteomics in Nutrition
With contributions from 66 world-renowned authorities on the subject, Genomics And Proteomics In Nutrition focuses on the effect of genetic expression on protein production, establishing links between gene expression and nutrition, the influence of micro- and macronutrients on cellular homeostasis, and the relationship between diet, genetic
