Principles Statistical Genomics (36 results)

paperback. Condition: Very Good.

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Hardback or Cased Book. Condition: New. Principles of Statistical Genomics. Book.

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Condition: New. This book synthesizes current statistical methodologies applied to genome study, exploring statistical models and methods behind major bioinformatics software. Helps researchers choose the optimal algorithm to analyze data and to better interpret results. Num Pages: 444 pages, 29 black & white tables, biography. BIC Classification: PSAK1. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 23. Weight in Grams: 676. . 2014. 2013th Edition. paperback. . . . .

Condition: New. pp. 446.

Condition: As New. Unread book in perfect condition.

Condition: New. This book synthesizes current statistical methodologies applied to genome study, exploring statistical models and methods behind major bioinformatics software. Helps researchers choose the optimal algorithm to analyze data and to better interpret results. Num Pages: 444 pages, 29 black & white tables, biography. BIC Classification: PSAK. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 235 x 155 x 29. Weight in Grams: 824. . 2008. Hardback. . . . .

Condition: New. This book synthesizes current statistical methodologies applied to genome study, exploring statistical models and methods behind major bioinformatics software. Helps researchers choose the optimal algorithm to analyze data and to better interpret results. Num Pages: 444 pages, 29 black & white tables, biography. BIC Classification: PSAK1. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 23. Weight in Grams: 676. . 2014. 2013th Edition. paperback. . . . . Books ship from the US and Ireland.

Hardcover. Condition: Brand New. 2013 edition. 443 pages. 9.25x6.25x1.00 inches. In Stock.

Condition: New. This book synthesizes current statistical methodologies applied to genome study, exploring statistical models and methods behind major bioinformatics software. Helps researchers choose the optimal algorithm to analyze data and to better interpret results. Num Pages: 444 pages, 29 black & white tables, biography. BIC Classification: PSAK. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 235 x 155 x 29. Weight in Grams: 824. . 2008. Hardback. . . . . Books ship from the US and Ireland.

Paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Buch. Condition: Neu. Neuware -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 on 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 isa comprehensive reference for researchers and graduate students studying statistical genomics.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 444 pp. Englisch.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 on 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.

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 on 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.

Condition: Sehr gut. Zustand: Sehr gut | Seiten: 444 | Sprache: Englisch | Produktart: Bücher | 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 on 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. .

Condition: Sehr gut. Zustand: Sehr gut | Seiten: 444 | Sprache: Englisch | Produktart: Bücher | 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 on 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. .

Hardcover. Condition: Like New. Like New. book.

Paperback. Condition: Like New. Like New. book.

Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 on 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. 444 pp. Englisch.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 on 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. 444 pp. Englisch.

Condition: New. Print on Demand pp. 446 46 Illus. (12 Col.).

Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Hardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.