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Genomic and Personalized Medicine
This two-volume set — winner of a 2013 Highly Commended BMA Medical Book Award for Medicine — provides an in-depth look at one of the most promising avenues for advances in the diagnosis, prevention and treatment of human disease. The inclusion of the latest information on diagnostic testing, population screening, predicting disease susceptibility, pharmacogenomics and more presents this book as an essential tool for both students and specialists across many biological and medical disciplines, including human genetics and genomics, oncology, neuroscience, cardiology, infectious disease, molecular medicine, and biomedical science, as well as health policy disciplines focusing on ethical, ...
Textbook of Malignant Hematology
The Second Edition of this successful title has been fully revised and updated and now includes expanded sections on normal and malignant haematopoiesis, offering a thorough review of the molecular and cellular processes involved in malignancy, developments in diagnostic techniques and treatment, concluding with discussion of treatment of individual diseases, late effects of therapy and supportive care. Short Contents
Gene Expression Profiling by Microarrays
Microarray analysis is a highly efficient tool for assessing the expression of a large number of genes simultaneously, and offers a new means to classify cancer and other diseases. Gene expression profiling can also be used to predict clinical outcome and response to specific therapeutic agents. This survey spans recent applications of microarrays in clinical medicine, covering malignant disease including acute leukaemias, lymphoid malignancies and breast cancer, together with diabetes and heart disease. Investigators in oncology, pharmacology and related clinical sciences, as well as basic scientists, will value this review of a promising new diagnostic and prognostic technology.
Bayesian Analysis of Gene Expression Data
The field of high-throughput genetic experimentation is evolving rapidly, with the advent of new technologies and new venues for data mining. Bayesian methods play a role central to the future of data and knowledge integration in the field of Bioinformatics. This book is devoted exclusively to Bayesian methods of analysis for applications to high-throughput gene expression data, exploring the relevant methods that are changing Bioinformatics. Case studies, illustrating Bayesian analyses of public gene expression data, provide the backdrop for students to develop analytical skills, while the more experienced readers will find the review of advanced methods challenging and attainable. This boo...
Radar Meteorology
As we all know, weather radar came into existence during the Second World War when aircraft detection radars had their vision limited by echoes from rain bearing clouds. What was often considered to be of nuisance value by the air force personnel trying to locate enemy aircraft was seen as an opportunity by the weather men. Thus adversity in one field was converted into an opportunity in another. Since then weather radar has found myriad applications with the increased sophistication of technology and processing systems. It has now become an indispensable tool for the operational forecasters, cloud physicists and atmospheric scientists. The current generation radar is but a distant echo of t...
Molecular Diagnostics
Molecular Diagnostics covers current molecular biological techniques used to identify the underlying molecular defects in inherited disease. Although an increasing number of laboratories, both academic and private are moving in that direction, there are only a few books in the existing literature, and they deal only partly with diagnosis at the molecular level. Each chapter includes the principle and a brief description of the technique, followed by exmples from the authors' own epertise. Contributors are well-known experts in their field, and derive from a variety of disciplines, to ensure breadth and depth of coverage. - Examines widely used molecular biology techniques to screen for genetic defects causing inherited disorders - Includes state-of-the-art techniques for the detection of the underlying genetic heterogeneity leading to inherited disorders - Identification of genetically modified organisms (GMO's) - Forensic analysis and every-day issues in a diagnostic laboratory - Discusses ethics, genetic counselling and quality management
Genome and Proteome in Oncology
The nature of cancer disease, its probable causes, and the molecular and cellular mechanisms through which malignant tumours develop, have only recently begun to be understood in any appreciable detail. Cancer is fundamentally a disease of the genome, arising from dynamic changes occurring within DNA during the lifetime of the cell e.g. deletions, amplifications, point mutations, translocations, that can occur in any cell and that may interact in a variety of cellular pathways. The imbalance in the interplay between genetic and environmental factors can initiate malignancy. The determination of the human genome sequence is acclaimed as one of the great achievements made possible by the rapid...
Outcome Prediction in Cancer
This book is organized into 4 sections, each looking at the question of outcome prediction in cancer from a different angle. The first section describes the clinical problem and some of the predicaments that clinicians face in dealing with cancer. Amongst issues discussed in this section are the TNM staging, accepted methods for survival analysis and competing risks. The second section describes the biological and genetic markers and the rôle of bioinformatics. Understanding of the genetic and environmental basis of cancers will help in identifying high-risk populations and developing effective prevention and early detection strategies. The third section provides technical details of mathem...
Applied Statistics for Network Biology
The book introduces to the reader a number of cutting edge statistical methods which can e used for the analysis of genomic, proteomic and metabolomic data sets. In particular in the field of systems biology, researchers are trying to analyze as many data as possible in a given biological system (such as a cell or an organ). The appropriate statistical evaluation of these large scale data is critical for the correct interpretation and different experimental approaches require different approaches for the statistical analysis of these data. This book is written by biostatisticians and mathematicians but aimed as a valuable guide for the experimental researcher as well computational biologists who often lack an appropriate background in statistical analysis.
The Oncogenomics Handbook
An integrated overview of cancer drug discovery and development from the bench to the clinic, showing with broad strokes and representative examples the drug development process as a network of linked components leading from the discovered target to the ultimate therapeutic product. Following a systems biology approach, the authors explain genomic databases and how to discover oncological targets from them, how then to advance from the gene and transcript to the level of protein biochemistry, how next to move from the chemical realm to that of the living cell and, ultimately, pursue animal modeling and clinical development. Emerging cancer therapeutics including Ritux an, Erbitux, Gleevec Herceptin, Avastin, ABX-EGF, Velcade, Kepivance, Iressa, Tarceva, and Zevalin are addressed. Highlights include cancer genomics, pharmacogenomics, transcriptomics, gene expression analysis, proteomic and enzymatic cancer profiling technologies, and cellular and animal approaches to cancer target validation.
