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Computational and Statistical Epigenomics
This book introduces the reader to modern computational and statistical tools for translational epigenomics research. Over the last decade, epigenomics has emerged as a key area of molecular biology, epidemiology and genome medicine. Epigenomics not only offers us a deeper understanding of fundamental cellular biology, but also provides us with the basis for an improved understanding and management of complex diseases. From novel biomarkers for risk prediction, early detection, diagnosis and prognosis of common diseases, to novel therapeutic strategies, epigenomics is set to play a key role in the personalized medicine of the future. In this book we introduce the reader to some of the most i...
Algorithmic Information Dynamics
Biological systems are extensively studied as interactions forming complex networks. Reconstructing causal knowledge from, and principles of, these networks from noisy and incomplete data is a challenge in the field of systems biology. Based on an online course hosted by the Santa Fe Institute Complexity Explorer, this book introduces the field of Algorithmic Information Dynamics, a model-driven approach to the study and manipulation of dynamical systems . It draws tools from network and systems biology as well as information theory, complexity science and dynamical systems to study natural and artificial phenomena in software space. It consists of a theoretical and methodological framework to guide an exploration and generate computable candidate models able to explain complex phenomena in particular adaptable adaptive systems, making the book valuable for graduate students and researchers in a wide number of fields in science from physics to cell biology to cognitive sciences.
Between the Lines of Genetic Code
Between the Lines of Genetic Code lays out methodologies and tools for the measurement and evaluation of gene-gene and gene-environment studies and gives perspective on the future of this discipline. The book begins by defining terms for interaction studies, describing methodologies, and critically assessing the viability of current study designs and the possibilities for integrating designs. It then provides recent applications data with case studies in rheumatoid arthritis, multiple sclerosis, myositis and other complex human diseases. Last, it examines current studies and directions for future applications in patient care. Recent multivariate studies show that gene-gene and gene-environme...
Epigenetic Biomarker and Personalized Precision Medicine
This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.
Between the Lines of Genetic Code
Following the success of genome-wide association studies, it is now important to unravel interactions between genes as well as between genes and environment. Here we discuss how to interpret higher order statistical interactions in terms of underlying biological processes purportedly generating such dependencies. In this chapter, we specifically review how biological networks, such as those generated from systems biological approaches, could possibly facilitate the interpretation of observed interactions in the development of complex phenotypes, e.g., complex diseases. We conclude that the statistical challenge is essentially a high-dimensional feature selection problem and there is therefore a need to construct intelligent priors using biological networks as a tool for the discovery and interpretation of interactions.
The Palgrave Handbook of Biology and Society
This comprehensive handbook synthesizes the often-fractured relationship between the study of biology and the study of society. Bringing together a compelling array of interdisciplinary contributions, the authors demonstrate how nuanced attention to both the biological and social sciences opens up novel perspectives upon some of the most significant sociological, anthropological, philosophical and biological questions of our era. The six sections cover topics ranging from genomics and epigenetics, to neuroscience and psychology to social epidemiology and medicine. The authors collaboratively present state-of-the-art research and perspectives in some of the most intriguing areas of what can b...
The Memoirs of Francesco Crispi
Unlike some other reproductions of classic texts (1) We have not used OCR(Optical Character Recognition), as this leads to bad quality books with introduced typos. (2) In books where there are images such as portraits, maps, sketches etc We have endeavoured to keep the quality of these images, so they represent accurately the original artefact. Although occasionally there may be certain imperfections with these old texts, we feel they deserve to be made available for future generations to enjoy.
Digitalität und Selbst
Fragen der Subjektivierung, des Sozialen, der Unbestimmtheit und des Ontologischen gewinnen im Angesicht der Digitalisierung und Algorithmisierung der Gesellschaft an Relevanz. In diesem interdisziplinär angelegten Sammelband werden zum einen die Verstrickungen von Mensch, digitaler Technik und Gesellschaft im Rahmen von Prozessen des Lernens und der (Selbst-)Bildung rekonstruiert. Die Beiträge zeigen zum anderen theoretische Zugänge auf, die es ermöglichen, Eigensinn, Widerständigkeit und kreatives Andershandeln innerhalb der relationalen Verstrickungen zu verorten und damit neue Zugänge für das Verständnis von Bildung und Subjektivierung in einer digitalen Kultur zu eröffnen.
Hepatocellular Carcinoma
This book provides up-to-date information on the development and progression of hepatocellular carcinoma (HCC) with a review of the cellular and molecular mechanisms involved in the disease process. Recent research in HCC has led to significant progress in our understanding of the cellular processes and molecular mechanisms that occur during multi-stage events that lead to hepatocarcinogenesis. The emergence of micro RNAs and molecular targeted therapies have added a new dimension in our efforts to combat this deadly disease, Chapters include discussion and evaluation of current intervention strategies and therapeutic options and a focus on the novel approaches that are being pursued, such as micro-RNA based therapies and personalized medicine to treat liver cancer. This book will be of interest to basic and clinical researchers, as well as to drug developers.
