Algebraic statistics for computational biology pachter l sturmfels b 9780521857000 books amazonca. The first part of this book consists of four chapters on the themes of statistics computation algebra and biology offering speedy self contained introductions to the emerging field of algebraic statistics and its applications to genomics in the second part the four themes are combined and developed to tackle real problems in computational genomics as the first book in the exciting and . Gebraic statistics for computational biology in the fall of 2004 the course was attended mostly by mathematics students curious about computational biol ogy but also by computer scientists statisticians and bioengineering students interested in understanding the mathematical foundations of bioinformatics participants ranged from postdocs to first year graduate students and even one . Of algebraic statistics and computational biology as well as student participa tion in the form of group projects and presentations the class was divided into four sections reflecting the four themes of algebra statistics computation and biology. Algebraic statistics is an emerging field that comprises statistical applications of computational algebraic geometry statistical models are formulated so that one studies solutions of systems of polynomial equations the models considered in this book come from computational biology and include sequence alignment and molecular evolution
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