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This volume in the series, Translational Bioinformatics, provides an up-to-date overview of genomic approaches to asthma. By applying unbiased “-omics” combined with disease-focused and hypothesis-driven approaches, it enhances readers’ understanding of the asthma endotype. Furthermore, it elucidates how progress in -omics research, such as “genomic,” “transcriptomic,” “protomic,” and “metabolomic,” is applied in asthma, and reports on the related series of important breakthroughs in asthma development, classification, prevention and drug sensitivity. Also covering systems biology knowledge and methodologies, computational models and biostatistical methods to analyze big data, this book provides a valuable resource for scientists and researchers in the field of asthma and respiratory diseases.
This book describes the latest advances in intelligent techniques such as fuzzy logic, neural networks, and optimization algorithms, and their relevance in building intelligent information systems in combination with applied mathematics. The authors also outline the applications of these systems in areas like intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction, and optimization of complex problems. By sharing fresh ideas and identifying new targets/problems it offers young researchers and students new directions for their future research. The book is intended for readers from mathematics and computer science, in particular professors and students working on theory and applications of intelligent systems for real-world applications.
The purpose of this document is to provide for the management of this public fallout shelter during its occupancy in a civil defense emergency.
This book is for statistical practitioners, particularly those who design and analyze studies for survival and event history data. Building on recent developments motivated by counting process and martingale theory, it shows the reader how to extend the Cox model to analyze multiple/correlated event data using marginal and random effects. The focus is on actual data examples, the analysis and interpretation of results, and computation. The book shows how these new methods can be implemented in SAS and S-Plus, including computer code, worked examples, and data sets.
After sequencing the human genome a decade ago, researchers have continued their projects, but now to try to better understand how, and when, genes are expressed in health and disease. Efforts have been concentrated on the measurement of the expression of RNA transcripts. In an analogy to the genome, the term "transcriptome" was created to refer to the complete set of RNAs in a cell type or tissue in a particular situation. Transcriptomics is the science that studies this issue and it is a branch of functional genomics. Transcriptomics in Heath and Disease provides a comprehensive overview of the science of transcriptomics initially in health, focusing on the concept of the transcriptome and...
The Frontiers in Chemistry Editorial Office team are delighted to present the inaugural “Frontiers in Chemistry: Rising Stars” article collection, showcasing the high-quality work of internationally recognized researchers in the early stages of their independent careers. All Rising Star researchers featured within this collection were individually nominated by the Journal’s Chief Editors in recognition of their potential to influence the future directions in their respective fields. The work presented here highlights the diversity of research performed across the entire breadth of the chemical sciences, and presents advances in theory, experiment and methodology with applications to co...
This book presents a state-of-the-art summary and critical analysis of work recently performed in leading research laboratories around the world on the implementation of metal oxide nanomaterial research methodologies for the discovery and optimization of new sensor materials and sensing systems. The book provides a detailed description and analysis of (i) metal oxide nanomaterial sensing principles, (ii) advances in metal oxide nanomaterial synthesis/deposition methods, including colloidal, emulsification, and vapor processing techniques, (iii) analysis of techniques utilized for the development of low temperature metal oxide nanomaterial sensors, thus enabling a broader impact into sensor applications, (iv) advances, challenges and insights gained from the in situ/ex situ analysis of reaction mechanisms, and (v) technical development and integration challenges in the fabrication of sensing arrays and devices.