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This book serves as the primary reference for precision medicine in the fields of pulmonary, critical care and sleep medicine by documenting principles written by experts in several aspects of precision medicine. It combines fundamental concepts of the field with state-of-the-art studies and how they translate into individual preventive, diagnostic and therapeutic plans. Precision medicine is focused on the integration of individual variability with disease prevention and treatment principles derived from population studies. This concept has risen to prominence in recent years in parallel with advances in genetics, molecular diagnostics and novel target-specific therapies. This fundamental s...
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 brings together the voices of leading experts in the frontiers of biostatistics, biomedicine, and the health sciences to discuss the statistical procedures, useful methods, and novel applications in biostatistics research. It also includes discussions of potential future directions of biomedicine and new statistical developments for health research, with the intent of stimulating research and fostering the interactions of scholars across health research related disciplines. Topics covered include: Health data analysis and applications to EHR data Clinical trials, FDR, and applications in health science Big network analytics and its applications in GWAS Survival analysis and functional data analysis Graphical modelling in genomic studies The book will be valuable to data scientists and statisticians who are working in biomedicine and health, other practitioners in the health sciences, and graduate students and researchers in biostatistics and health.
This new volume on gene expression and epigenetics discusses environmental effects related to specific gene expression. The book also shows methods for bioinformatic analysis of the epigenome. The book is broken into two sections: the first looks at eukaryotic DNA methylation and the second addresses how to integrate genomic medicine into clinical practice. The book includes chapters on these topics: • Gene expression in colon cancer tissue • Epigenetics in human acute kidney injury • Embryologically relevant candidate genes in MRKH patients • DNA methylation in common skeletal disorders • Causal relationships in genomics • Predicting severe asthma exacerbations in children • Epigenetic understanding of gene-environment interactions in psychiatric disorders
New to the Routledge Advances in Learning Sciences series, this book highlights diverse approaches taken by researchers in the Learning Sciences to support teacher learning. It features international perspectives from world class researchers that exemplify new lenses on the work of teaching, encompassing new objects of learning, methods and tools; new ways of working with researchers and peers; and new efforts to work with the systems in which teachers are embedded. Together, the chapters in this volume reflect a new frontier of research on teacher learning that leverages diversity in the content, contexts, objects of inquiry, and tools for supporting shifts in instructional practice. Divide...
Collected interviews with the celebrated African American novelist
Dins de les diverses àrees de recerca de la Bioinformàtica (metagenómica, metatranscriptómica, transcriptómica, etc) es troba l'Anàlisi de dades d'Expressió Genètica, és a dir, l'estudi dels ARNm transcrits per un conjunt de gens en diferents condicions experimentals que és coneix com a transcriptómica. Així com la metagenòmica indica quins organismes estan representats genèticament en una mostra; la transcriptòmica indica el nivell d'activitat d'aquests gens. Per tant la transcriptòmica és l'estudi de l'activitat de tots els transcrits (és a dir seqüències de RNA) de les mostres.AIR, Artificial Intelligence RNA-seq, és una plataforma web que permet operar les dades provinents d'experiments transcriptòmics de manera simplificada per a l'usuari.Es pot trobar a: https://transcriptomics.sequentiabiotech.com
This book brings together the voices of leading experts in the frontiers of biostatistics, biomedicine, and the health sciences to discuss the statistical procedures, useful methods, and novel applications in biostatistics research. It also includes discussions of potential future directions of biomedicine and new statistical developments for health research, with the intent of stimulating research and fostering the interactions of scholars across health research related disciplines. Topics covered include: Health data analysis and applications to EHR data Clinical trials, FDR, and applications in health science Big network analytics and its applications in GWAS Survival analysis and functional data analysis Graphical modelling in genomic studies The book will be valuable to data scientists and statisticians who are working in biomedicine and health, other practitioners in the health sciences, and graduate students and researchers in biostatistics and health.
Bolivia's #1 novel is finally translated into English. Translated by Adrian Althoff, with an afterword by Ilan Stavans.