Principles of Statistical Genomics

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Chi ama i libri sceglie Kobo e inMondadori. Principles of Statistical Genomics by Shizhong Xu. Available in Russia Shop from Russia to buy this item. Or, get it for Kobo Super Points! Ratings and Reviews 0 0 star ratings 0 reviews. Overall rating No ratings yet 0. How to write a great review Do Say what you liked best and least Describe the author's style Explain the rating you gave Don't Use rude and profane language Include any personal information Mention spoilers or the book's price Recap the plot. Close Report a review At Kobo, we try to ensure that published reviews do not contain rude or profane language, spoilers, or any of our reviewer's personal information.

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Would you also like to submit a review for this item? You already recently rated this item. Your rating has been recorded. Write a review Rate this item: Preview this item Preview this item. Principles of statistical genomics Author: English View all editions and formats Summary: Statistical genomics is a rapidly developing field, with more and more people involved in this area. However, a lack of synthetic reference books and textbooks in statistical genomics has become a major hurdle to the development of the field.

Although many books have been published recently in bioinformatics, most of them emphasize DNA sequence analysis under a deterministic approach. Principles of Statistical Genomics synthesizes the state-of-the-art statistical methodologies stochastic 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. Allow this favorite library to be seen by others Keep this favorite library private.

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