{
"item_title" : "Probabilistic Modeling in Bioinformatics and Medical Informatics",
"item_author" : [" Dirk Husmeier", "Richard Dybowski", "Stephen Roberts "],
"item_description" : "Probabilistic Modelling in Bioinformatics and Medical Informatics has been written for researchers and students in statistics, machine learning, and the biological sciences. The first part of this book provides a self-contained introduction to the methodology of Bayesian networks. The following parts demonstrate how these methods are applied in bioinformatics and medical informatics. All three fields - the methodology of probabilistic modelling, bioinformatics, and medical informatics - are evolving very quickly. The text should therefore be seen as an introduction, offering both elementary tutorials as well as more advanced applications and case studies.",
"item_img_path" : "https://covers4.booksamillion.com/covers/bam/1/84/996/912/1849969124_b.jpg",
"price_data" : {
"retail_price" : "169.99", "online_price" : "169.99", "our_price" : "169.99", "club_price" : "169.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : ""
}
}
Probabilistic Modeling in Bioinformatics and Medical Informatics
Overview
Probabilistic Modelling in Bioinformatics and Medical Informatics has been written for researchers and students in statistics, machine learning, and the biological sciences. The first part of this book provides a self-contained introduction to the methodology of Bayesian networks. The following parts demonstrate how these methods are applied in bioinformatics and medical informatics. All three fields - the methodology of probabilistic modelling, bioinformatics, and medical informatics - are evolving very quickly. The text should therefore be seen as an introduction, offering both elementary tutorials as well as more advanced applications and case studies.
This item is Non-Returnable
Customers Also Bought
Details
- ISBN-13: 9781849969123
- ISBN-10: 1849969124
- Publisher: Springer
- Publish Date: October 2010
- Dimensions: 9.21 x 6.14 x 1.06 inches
- Shipping Weight: 1.61 pounds
- Page Count: 508
Related Categories
