Hongmei Zhang – författare

Analyzing high-dimensional gene expression and DNA methylation data with R is the first practical book that shows a ``pipeline" of analytical methods with concrete examples starting from raw gene expression and DNA methylation data at the genome scale. Methods on quality control, data pre-processing, data mining, and further assessments are presented in the book, and R programs based on simulated data and real data are included. Codes with example data are all reproducible.

Features: • Provides a sequence of analytical tools for genome-scale gene expression data and DNA methylation data, starting from quality control and pre-processing of raw genome-scale data. • Organized by a parallel presentation with explanation on statistical methods and corresponding R packages/functions in quality control, pre-processing, and data analyses (e.g., clustering and networks). • Includes source codes with simulated and real data to reproduce the results. Readers are expected to gain the ability to independently analyze genome-scaled expression and methylation data and detect potential biomarkers.

This book is ideal for students majoring in statistics, biostatistics, and bioinformatics and researchers with an interest in high dimensional genetic and epigenetic studies.

Analyzing high-dimensional gene expression and DNA methylation data with R is the first practical book that shows a ``pipeline" of analytical methods with concrete examples starting from raw gene expression and DNA methylation data at the genome scale. Methods on quality control, data pre-processing, data mining, and further assessments are presented in the book, and R programs based on simulated data and real data are included. Codes with example data are all reproducible.

Features: • Provides a sequence of analytical tools for genome-scale gene expression data and DNA methylation data, starting from quality control and pre-processing of raw genome-scale data. • Organized by a parallel presentation with explanation on statistical methods and corresponding R packages/functions in quality control, pre-processing, and data analyses (e.g., clustering and networks). • Includes source codes with simulated and real data to reproduce the results. Readers are expected to gain the ability to independently analyze genome-scaled expression and methylation data and detect potential biomarkers.

This book is ideal for students majoring in statistics, biostatistics, and bioinformatics and researchers with an interest in high dimensional genetic and epigenetic studies.

This volume contains essays that examine contemporary urban and regional planning and development in China. Through in-depth theoretical and empirical analysis, it provides insights into the urban policies and operational mechanisms of this colossal transitional economy which has presented unprecedented challenges and dynamics.

Inside, readers will discover the causes and consequences of rapid urbanization that have led to a series of environmental, economic and social planning and management measures designed to achieve quality urban living. The essays also detail efforts in adopting the latest options in city building such as specific urban planning approaches in developing large city regions, building cities without slums, constructing new townships and green urbanism, including eco-city and sustainable transport. In addition, coverage explores financial management and support as a means to encourage urbanization and urban economic growth in less-developed regions.

Overall, the volume offers a wealth of concrete, detailed information on conditions in different regions of China and features an extensive range of content, methods and theory. It provides readers with a comprehensive portrait of the chain relationship between rapid urbanization, spatial planning and management throughout the country.

The book will serve as a useful reference for national and international consultancy services doing business or serving public interest in China. It will also be of interest to an international audience seeking a better understanding of urban development and planning in China, including university teachers, students, government agencies and general readers.

This book provides a snapshot of the COVID-19 pandemic situation from the perspective of the tourism, aviation and hospitality industries. The book analyzes the challenges and possible strategies for recovery to meet the urgent needs of the industry to deal with this catastrophic health crisis. A good part of the book discusses the negative effect of the pandemic to these industrial sectors and the strategies to reduce it. The book also explores other aspects of the tourism and hospitality development as the base for recovery such as applying more flexible business models, understanding the resident’s perception and emotion experience, strengthening the human resource management, and improving the destination image for marketing, etc. Some long-term issues are also discussed such as management education and environment protection education. The book is highly recommended for tourism and aviation researchers, policy makers, industry practitioners, and graduate students.

This book is a collection of selected papers from the 10th International Conference on Tourism and Hospitality between China and Spain (www.china-spain.org).