Statistical Analysis of Microbiome Data with R by Yinglin Xia

Statistical Analysis of Microbiome Data with R by Yinglin Xia

This unique book addresses the statistical modelling and analysis of microbiome data using cutting-edge R software. It includes real-world data from the authors’ research and from the public domain, and discusses the implementation of R for data analysis step by step. The data and R computer programs are publicly available, allowing readers to replicate the model development and data analysis presented in each chapter, so that these new methods can be readily applied in their own research. The book also discusses recent developments in statistical modelling and data analysis in microbiome research, as well as the latest advances in next-generation sequencing and big data in methodological development and applications. This timely book will greatly benefit all readers involved in microbiome, ecology and microarray data analyses, as well as other fields of research.

“Statistical Analysis of Microbiome Data With R represents a very good foundational resource for bioinformaticians and statisticians interested in this emerging area of research” (Kim-Anh Lê Cao, Biometrical Journal, Vol. 61, 2019)

Dr. Jun Sun is a tenured Professor of Medicine at the University of Illinois at Chicago (UIC), U.S.A.. She is an elected fellow of American Gastroenterological Association (AGA) and American Physiological Society (APS). She chairs the AGA microbiome section. Her research interests are host-microbiome interactions in inflammation and cancer. Her key achievements include 1) characterization of vitamin D receptor regulation of intestinal barrier and microbiome in inflammation and cancer, 2) identification of dysbiosis and intestinal dysfunction in amyotrophic lateral sclerosis (ALS), 3) characterization of bacteria in regulating intestinal stem cells and leading to cancer, and 4) identification and characterization of the Salmonella protein AvrA in host-bacterial interactions. Dr. Sun has published over 190 scientific articles in peer-reviewed journals, including Gut, Gastroenterolog, Cell Stem Cells, Nature Genetics, JBC, Autophagy, American Journal of Pathology, & American Journal of Physiology-GI. She is the leading editor of 4 books on microbiome, including a Nature/Spring book entitled Mechanisms underlying host-microbiome interactions in pathophysiology of human diseases. This book has shown a novel theme and multiple disciplinary topics of microbiome research for a broad audience. She is the author of Nature/Spring book Statistical Analysis of Microbiome Data with R. This timely book addresses the statistical modelling and analysis of microbiome data using cutting-edge R software. She serves on the editorial board of more than 10 peer-reviewed international scientific journals. She services study sections for the NIH, American Cancer Society, and other national and international research foundations. She has been invited to chair meetings on microbiome, be a keynote speaker, and to write reviews, editorials, and comments on microbiome in human diseases published for peer-reviewed journals. She is actively involved in advocating microbiome research at the international, national, and institutional levels. Her research is supported by the NIH, DOD, VA, and other research awards.

Dr. Sun is a believer of scientific art and artistic science. She enjoys writing her science papers in English and poems in Chinese. She teaches her medical fellows biomedical knowledge and also the way to translate the Chinese poems. In addition to her research papers and books, her poetry collection《让时间停留在这一刻 》Let time stay still at this moment, is published in 2018 by the Chinese Literature and History Press (中国文史出版社).

SKU	Nicht verfügbar
ISBN 13	9789811315336
ISBN 10	9811315337
Titel	Statistical Analysis of Microbiome Data with R
Autor	Yinglin Xia
Serie	Icsa Book Series In Statistics
Buchzustand	Nicht verfügbar
Verlag	Springer Verlag, Singapore
Erscheinungsjahr	2018-10-20
Seitenanzahl	505
Hinweis auf dem Einband	Die Abbildung des Buches dient nur Illustrationszwecken, die tatsächliche Bindung, das Cover und die Auflage können sich davon unterscheiden.
Hinweis	Nicht verfügbar