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 book: Introduces the fundamentals in Bayesian methods of analysis for applications to high-throughput gene expression data. Provides an extensive review of Bayesian analysis and advanced topics for Bioinformatics, including examples that extensively detail the necessary applications. Accompanied by website featuring datasets, exercises and solutions. Bayesian Analysis of Gene Expression Data offers a unique introduction to both Bayesian analysis and gene expression, aimed at graduate students in Statistics, Biomedical Engineers, Computer Scientists, Biostatisticians, Statistical Geneticists, Computational Biologists, applied Mathematicians and Medical consultants working in genomics. Bioinformatics researchers from many fields will find much value in this book.
Solar Photovoltaic Technology Production: Potential Environmental Impacts and Implications for Governance provides an overview of the emerging industrial PV sector, its technologies, and the regulatory frameworks supporting them. This new book reviews and categorizes the potential environmental impacts of several main PV technologies, examining the extent to which current EU governance frameworks regulate such impacts. By identifying the gaps or regulatory mismatches and creating a basis for normative recommendations on governance change, this book analyzes potential governance implications and their impacts in relation to manufacturers upscaling PV production techniques. Fills the need for a coherent source of information on the potential impacts of different PV technologies Provides comprehensive coverage of lifecycle analysis (LCA) of PV technologies in a single reference Analyzes relevant governance arrangements for researchers and manufacturers
First published in 1999, this influential volume explores Macroeconomic Adjustment with a particular focus on India. Its inspiration originated from the introduction of stabilisation and structural adjustment policies in India in 1991. Mallick examines the application of this policy package by the International Monetary Fund and the World Bank to Developing Economies. First looking at the initial conditions and generators of imbalances, the appropriate policy framework for India’s initial conditions and structural characteristics is considered. While the effectiveness of the IMF had been strongly criticised, Mallick explains how it could be used more effectively. He argues that the programs applied are often contradictory and, using India as an example, examines the effects of policy reform on its trade sector, the repercussions on the direct economy and the costs associated with such policies in restoring stability and future economic growth, with particular support for the Vector Autoregression (VAR) framework. Mallick forwards a new structural model for policy purposes, evaluated for overall performance and optimal control.
The process of regional-residual separation in potential field is age-old. Broadly, there are two techniques for regional-residual resolution, viz., graphical and analytical. Both the techniques have their own respective shortcomings. In this book, the authors have described the technique based on finite element method in which only eight (or twelve) nodal observed gravity values are used for the regional computation, thereby eliminating the possible contamination of anomalous fields and also the technique does not assume an explicit model and physical properties like density of rocks etc. in the regional computation. The book discusses the advantages of this technique viz., it is not site-specific; the computation is independent of any prior assumptions as to the form and depth of shallow or deeper structures; it can handle data distributed at random or on a regular grid on the map space; and the neighbouring surveys join smoothly. The book focuses on application of this new technique which has been demonstrated in different fields, such as hydrocarbon, minerals and groundwater, structural studies, earthquake and engineering studies and impact structures.
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