/ by Radhakrishnan Nagarajan, Marco Scutari, Sophie L?سbre
خط فهرست نويسي و خط اصلي شناسه
fa
وضعیت نشر و پخش و غیره
محل نشرو پخش و غیره
New York, NY
نام ناشر، پخش کننده و غيره
: Springer New York :Imprint: Springer,
تاریخ نشرو بخش و غیره
, 2013.
مشخصات ظاهری
نام خاص و کميت اثر
XIII, 157 p. 36 illus., online resource.
فروست
عنوان فروست
(Use R!
مشخصه جلد
; 48)
یادداشتهای مربوط به نشر، بخش و غیره
متن يادداشت
Electronic
یادداشتهای مربوط به مندرجات
متن يادداشت
Bayesian Networks in R with Applications in Systems Biology introduces the reader to the essential concepts in Bayesian network modeling and inference in conjunction with examples in the open-source statistical environment R. The level of sophistication is gradually increased across the chapters with exercises and solutions for enhanced understanding and hands-on experimentation of key concepts. Applications focus on systems biology with emphasis on modeling pathways and signaling mechanisms from high throughput molecular data. Bayesian networks have proven to be especially useful abstractions in this regards as exemplified by their ability to discover new associations while validating known ones. It is also expected that the prevalence of publicly available high-throughput biological and healthcare data sets may encourage the audience to explore investigating novel paradigms using the approaches presented in the book.
متن يادداشت
Introduction -- Bayesian Networks in the Absence of Temporal Information -- Bayesian Networds in the Presence of Temporal Information -- Bayesian Network Inference Algorithms -- Parallel Computing for Bayesian Networks -- Solutions -- Index -- References.?╗╣
فروست (داده ارتباطی)
عنوان
Use R!
شماره جلد
48
موضوع (اسم عام یاعبارت اسمی عام)
موضوع مستند نشده
Statistics
موضوع مستند نشده
Computer science
موضوع مستند نشده
Mathematical statistics
موضوع مستند نشده
Electronic books
رده بندی کنگره
شماره رده
E-BOOK
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )