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Over the years, significant developments have been taking place in high-dimensional data analysis, driven primarily by a wide range of applications in many fields such as genomics and signal processing. This book intends to examine the issues arising from high-dimensional data analysis to explore key ideas for statistical inference and prediction.

Presents an overview of various developments in biostatistics and bioinformatics. This book offers graduate students and researchers an idea of where the frontiers of biostatistics and bioinformatics are as well as a forum to learn common techniques in use.