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OverviewThis book introduces the reader to modern computational and statistical tools for translational epigenomics research. Over the last decade, epigenomics has emerged as a key area of molecular biology, epidemiology and genome medicine. Epigenomics not only offers us a deeper understanding of fundamental cellular biology, but also provides us with the basis for an improved understanding and management of complex diseases. From novel biomarkers for risk prediction, early detection, diagnosis and prognosis of common diseases, to novel therapeutic strategies, epigenomics is set to play a key role in the personalized medicine of the future. In this book we introduce the reader to some of the most important computational and statistical methods for analyzing epigenomic data, with a special focus on DNA methylation. Topics include normalization, correction for cellular heterogeneity, batch effects, clustering, supervised analysis and integrative methods for systems epigenomics. This book will be of interest to students and researchers in bioinformatics, biostatistics, biologists and clinicians alike. Dr. Andrew E. Teschendorff is Head of the Computational Systems Genomics Lab at the CAS-MPG Partner Institute for Computational Biology, Shanghai, China, as well as an Honorary Research Fellow at the UCL Cancer Institute, University College London, UK. Full Product DetailsAuthor: Andrew E. TeschendorffPublisher: Springer Imprint: Springer Edition: 2015 ed. Volume: 7 Dimensions: Width: 15.50cm , Height: 1.40cm , Length: 23.50cm Weight: 5.022kg ISBN: 9789401799263ISBN 10: 9401799261 Pages: 217 Publication Date: 29 May 2015 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Manufactured on demand We will order this item for you from a manufactured on demand supplier. Table of ContentsReviewsThis volume in the Translational Bioinformatics series introduces modern computational and statistical tools for translational epigenomic research with a special focus on DNA methylation. This is a valuable resource for students, clinicians, and researchers who wish to understand the basics of modern computational and statistical tools for translational epigenomics research. The analytical, storage-related, and interpretive methods discussed in this book hold great promise in helping improve prediction, early diagnosis, severity monitoring, therapeutic effect, and prognosis of human diseases. (Pooja Sethi, Doody s Book Reviews, July, 2015) This volume in the Translational Bioinformatics series introduces modern computational and statistical tools for translational epigenomic research with a special focus on DNA methylation. ... This is a valuable resource for students, clinicians, and researchers who wish to understand the basics of modern computational and statistical tools for translational epigenomics research. The analytical, storage-related, and interpretive methods discussed in this book hold great promise in helping improve prediction, early diagnosis, severity monitoring, therapeutic effect, and prognosis of human diseases. (Pooja Sethi, Doody's Book Reviews, July, 2015) Author InformationTab Content 6Author Website:Countries AvailableAll regions |