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Pattern Recognition
This book constitutes the proceedings of the 41st DAGM German Conference on Pattern Recognition, DAGM GCPR 2019, held in Dortmund, Germany, in September 2019. The 43 revised full papers presented were carefully reviewed and selected from 91 submissions. The German Conference on Pattern Recognition is the annual symposium of the German Association for Pattern Recognition (DAGM). It is the national venue for recent advances in image processing, pattern recognition, and computer vision and it follows the long tradition of the DAGM conference series.
Bioinformatics Research and Applications
This book constitutes the proceedings of the 16th International Symposium on Bioinformatics Research and Applications, ISBRA 2020, held in Moscow, Russia, in December 2020. The 23 full papers and 18 short papers presented in this book were carefully reviewed and selected from 131 submissions. They were organized in topical sections named: genome analysis; systems biology; computational proteomics; machine and deep learning; and data analysis and methodology.
Noncoding RNA
Noncoding RNAs (ncRNAs) are the “dark matter” of the genome, occupying vast regions yet not coding for proteins. Despite their elusive nature, they play a pivotal role in regulating gene expression and cellular processes and participate in chromatin remodeling and signal transduction. Crucial in development and disease, ncRNAs influence embryogenesis, cell differentiation, and cancer progression. Their potential in diagnostics and therapeutics marks a revolutionary frontier in genetic and medical research. This book provides a comprehensive overview of the regulatory and developmental roles of ncRNAs, from gene regulation in plants to their crucial functions in embryogenesis and cancer, and their potential in diagnostics and therapeutics.
Deep Learning for the Earth Sciences
DEEP LEARNING FOR THE EARTH SCIENCES Explore this insightful treatment of deep learning in the field of earth sciences, from four leading voices Deep learning is a fundamental technique in modern Artificial Intelligence and is being applied to disciplines across the scientific spectrum; earth science is no exception. Yet, the link between deep learning and Earth sciences has only recently entered academic curricula and thus has not yet proliferated. Deep Learning for the Earth Sciences delivers a unique perspective and treatment of the concepts, skills, and practices necessary to quickly become familiar with the application of deep learning techniques to the Earth sciences. The book prepares...
Genetic Causes of Cardiac Disease
This book provides a comprehensive summary of the latest developments in the field of the genomics of cardiac disease. Written and edited by leading clinicians and scientists involved in the analysis and therapy of genetic cardiac disorders, it discusses the genetic causes of a variety of cardiac diseases, such as the complex genetics and etiology of congenital heart diseases. It also explores sex differences in prevalent diseases, genetics-based therapeutic strategies and the use of various animal models and alternatives. The book is intended for research scientists and clinical scientists in the cardiovascular field, human geneticists and cardiologists.
Principles of 3D Image Analysis and Synthesis
Traditionally, say 15 years ago, three-dimensional image analysis (aka computer vi sion) and three-dimensional image synthesis (aka computer graphics) were separate fields. Rarely were expert
