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Leading researchers describe in step-by-step detail their best state-of-the art molecular techniques for elucidating the biochemical processes associated with human cancer. Among the techniques presen

According to the most recent clinical oncology data, one out of seven newly diagnosed malignancies worldwide result from infection and chronic inflammation in conjunction with cancer. In Inflammation

This volume covers a wide variety of state of the art cancer-related methods and tools for data analysis and interpretation. Chapters were designed to attract a broad readership, ranging from active r

This volume presents methods and protocols on modern analysis of steroid receptor and prostate cancer function. Chapters detail androgen, androgen receptor action, anti-androgen enzalutamide, in vitro

This volume explores the latest techniques used to study tumor immunology. The chapters in this book detail methodologies for functional analysis and expansion of T lymphocytes for cancer research. Th

Nano-biotechnology crosses the boundaries between physics, biochemistry and bioengineering, and has profound implications for the biomedical engineering industry. This book describes the quantum chemical simulation of a wide variety of molecular systems, with detailed analysis of their quantum chemical properties, individual molecular configurations, and cutting-edge biomedical applications. Topics covered include the basic properties of quantum chemistry and its conceptual foundations, the nanoelectronics and thermodynamics of DNA, the optoelectronic properties of the five DNA/RNA nucleobase anhydrous crystals, and key examples of molecular diode prototypes. A wide range of important applications are described, including protein binding of drugs such as cholesterol-lowering, anti-Parkinson and anti-migraine drugs, and recent developments in cancer biology are also discussed. This modern and comprehensive text is essential reading for graduate students and researchers in multidisciplin

The interdisciplinary nature of bioinformatics presents a research challenge in integrating concepts, methods, software and multiplatform data. Although there have been rapid developments in new technology and an inundation of statistical methods for addressing other types of high-throughput data, such as proteomic profiles that arise from mass spectrometry experiments. This book discusses the development and application of Bayesian methods in the analysis of high-throughput bioinformatics data that arise from medical, in particular, cancer research, as well as molecular and structural biology. The Bayesian approach has the advantage that evidence can be easily and flexibly incorporated into statistical methods. A basic overview of the biological and technical principles behind multi-platform high-throughput experimentation is followed by expert reviews of Bayesian methodology, tools and software for single group inference, group comparisons, classification and clustering, motif discov

The interdisciplinary nature of bioinformatics presents a research challenge in integrating concepts, methods, software and multiplatform data. Although there have been rapid developments in new technology and an inundation of statistical methods for addressing other types of high-throughput data, such as proteomic profiles that arise from mass spectrometry experiments. This book discusses the development and application of Bayesian methods in the analysis of high-throughput bioinformatics data that arise from medical, in particular, cancer research, as well as molecular and structural biology. The Bayesian approach has the advantage that evidence can be easily and flexibly incorporated into statistical methods. A basic overview of the biological and technical principles behind multi-platform high-throughput experimentation is followed by expert reviews of Bayesian methodology, tools and software for single group inference, group comparisons, classification and clustering, motif discov