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Author : L. Pachter
Release : 2005-08-22
Genre : Mathematics
Kind : eBook
Book Rating : 000/5 ( reviews)
Book Synopsis Algebraic Statistics for Computational Biology by : L. Pachter
Download or read book Algebraic Statistics for Computational Biology written by L. Pachter. This book was released on 2005-08-22. Available in PDF, EPUB and Kindle. Book excerpt: This book, first published in 2005, offers an introduction to the application of algebraic statistics to computational biology.
Author :
Release : 2007
Genre :
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis Algebraic Statistics and Computational Biology by :
Download or read book Algebraic Statistics and Computational Biology written by . This book was released on 2007. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Giovanni Pistone
Release : 2000-12-21
Genre : Mathematics
Kind : eBook
Book Rating : 762/5 ( reviews)
Book Synopsis Algebraic Statistics by : Giovanni Pistone
Download or read book Algebraic Statistics written by Giovanni Pistone. This book was released on 2000-12-21. Available in PDF, EPUB and Kindle. Book excerpt: Written by pioneers in this exciting new field, Algebraic Statistics introduces the application of polynomial algebra to experimental design, discrete probability, and statistics. It begins with an introduction to Grobner bases and a thorough description of their applications to experimental design. A special chapter covers the binary case
Author : Seth Sullivant
Release : 2023-11-17
Genre : Mathematics
Kind : eBook
Book Rating : 103/5 ( reviews)
Book Synopsis Algebraic Statistics by : Seth Sullivant
Download or read book Algebraic Statistics written by Seth Sullivant. This book was released on 2023-11-17. Available in PDF, EPUB and Kindle. Book excerpt: Algebraic statistics uses tools from algebraic geometry, commutative algebra, combinatorics, and their computational sides to address problems in statistics and its applications. The starting point for this connection is the observation that many statistical models are semialgebraic sets. The algebra/statistics connection is now over twenty years old, and this book presents the first broad introductory treatment of the subject. Along with background material in probability, algebra, and statistics, this book covers a range of topics in algebraic statistics including algebraic exponential families, likelihood inference, Fisher's exact test, bounds on entries of contingency tables, design of experiments, identifiability of hidden variable models, phylogenetic models, and model selection. With numerous examples, references, and over 150 exercises, this book is suitable for both classroom use and independent study.
Author : Raina Robeva
Release : 2015-05-09
Genre : Mathematics
Kind : eBook
Book Rating : 714/5 ( reviews)
Book Synopsis Algebraic and Discrete Mathematical Methods for Modern Biology by : Raina Robeva
Download or read book Algebraic and Discrete Mathematical Methods for Modern Biology written by Raina Robeva. This book was released on 2015-05-09. Available in PDF, EPUB and Kindle. Book excerpt: Written by experts in both mathematics and biology, Algebraic and Discrete Mathematical Methods for Modern Biology offers a bridge between math and biology, providing a framework for simulating, analyzing, predicting, and modulating the behavior of complex biological systems. Each chapter begins with a question from modern biology, followed by the description of certain mathematical methods and theory appropriate in the search of answers. Every topic provides a fast-track pathway through the problem by presenting the biological foundation, covering the relevant mathematical theory, and highlighting connections between them. Many of the projects and exercises embedded in each chapter utilize specialized software, providing students with much-needed familiarity and experience with computing applications, critical components of the "modern biology" skill set. This book is appropriate for mathematics courses such as finite mathematics, discrete structures, linear algebra, abstract/modern algebra, graph theory, probability, bioinformatics, statistics, biostatistics, and modeling, as well as for biology courses such as genetics, cell and molecular biology, biochemistry, ecology, and evolution. Examines significant questions in modern biology and their mathematical treatments Presents important mathematical concepts and tools in the context of essential biology Features material of interest to students in both mathematics and biology Presents chapters in modular format so coverage need not follow the Table of Contents Introduces projects appropriate for undergraduate research Utilizes freely accessible software for visualization, simulation, and analysis in modern biology Requires no calculus as a prerequisite Provides a complete Solutions Manual Features a companion website with supplementary resources
