Principles of Statistical Genomics synthesizes the state-of-the-art statistical methodologies (shastic approaches) applied to genome study. It facilitates understanding of the statistical models and methods behind the major bioinformatics software packages, which will help researchers choose the optimal algorithm to analyze their data and better interpret the results of their analyses. Understanding existing statistical models and algorithms assists researchers to develop improved statistical methods to extract maximum information from their data.
Resourceful and easy to use,Principles of Statistical Genomics is a comprehensive reference for researchers and graduate students studying statistical genomics.
Principles of Statistical Genomics synthesizes the state-of-the-art statistical methodologies (shastic approaches) applied to genome study. It facilitates understanding of the statistical models and methods behind the major bioinformatics software packages, which will help researchers choose the optimal algorithm to analyze their data and better interpret the results of their analyses. Understanding existing statistical models and algorithms assists researchers to develop improved statistical methods to extract maximum information from their data.
Resourceful and easy to use,Principles of Statistical Genomics is a comprehensive reference for researchers and graduate students studying statistical genomics.
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Principles of Statistical Genomics
428![Principles of Statistical Genomics](http://img.images-bn.com/static/redesign/srcs/images/grey-box.png?v11.10.4)
Principles of Statistical Genomics
428Product Details
ISBN-13: | 9780387708065 |
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Publisher: | Springer New York |
Publication date: | 09/10/2012 |
Edition description: | 2013 |
Pages: | 428 |
Product dimensions: | 6.10(w) x 9.25(h) x 0.04(d) |