Bayesian Networks in R With Applications in Systems Biology

Bayesian Networks in R: with Applications in Systems Biology [Repost]  eBooks & eLearning

Posted by ChrisRedfield at Nov. 4, 2014
Bayesian Networks in R: with Applications in Systems Biology [Repost]

Radhakrishnan Nagarajan, Marco Scutari, Sophie Lèbre - Bayesian Networks in R: with Applications in Systems Biology
Published: 2013-04-27 | ISBN: 1461464455 | PDF | 157 pages | 3 MB

Bayesian Networks in R: with Applications in Systems Biology (repost)  eBooks & eLearning

Posted by arundhati at April 28, 2014
Bayesian Networks in R: with Applications in Systems Biology (repost)

Radhakrishnan Nagarajan, Marco Scutari, "Bayesian Networks in R: with Applications in Systems Biology"
2013 | ISBN: 1461464455 | 172 pages | PDF | 3 MB

Bayesian Networks in R: with Applications in Systems Biology  eBooks & eLearning

Posted by nebulae at Nov. 8, 2013
Bayesian Networks in R: with Applications in Systems Biology

Radhakrishnan Nagarajan, Marco Scutari, "Bayesian Networks in R: with Applications in Systems Biology"
English | ISBN: 1461464455 | 2013 | 172 pages | PDF | 3 MB
Principles of Diffuse Light Propagation: Light Propagation in Tissues with Applications in Biology and Medicine

Principles of Diffuse Light Propagation: Light Propagation in Tissues with Applications in Biology and Medicine by Jorge Ripoll Lorenzo
English | 2012 | ISBN: 9814293768 | 356 pages | PDF | 4 MB
Probabilistic Boolean Networks: The Modeling and Control of Gene Regulatory Networks

Probabilistic Boolean Networks: The Modeling and Control of Gene Regulatory Networks by Ilya Shmulevich, Edward R. Dougherty
2009 | ISBN: 0898716926 | English | 281 pages | PDF | 2 MB
Basic and Advanced Bayesian Structural Equation Modeling: With Applications in the Medical and Behavioral Sciences (Repost)

Sik-Yum Lee, "Basic and Advanced Bayesian Structural Equation Modeling: With Applications in the Medical and Behavioral Sciences"
English | ISBN: 0470669527 | 2012 | PDF | 391 pages | 4 MB
Biomolecular Networks: Methods and Applications in Systems Biology by Rui-Sheng Wang

Biomolecular Networks: Methods and Applications in Systems Biology (Wiley Series in Bioinformatics) by Rui-Sheng Wang
English | July 20, 2009 | ISBN: 0470243732 | 420 Pages | PDF | 5 MB

Alternative techniques and tools for analyzing biomolecular networks. With the recent rapid advances in molecular biology, high-throughput experimental methods have resulted in enormous amounts of data…

Introduction to Bayesian Statistics, 2 Edition (repost)  eBooks & eLearning

Posted by libr at Sept. 2, 2014
Introduction to Bayesian Statistics, 2 Edition (repost)

Introduction to Bayesian Statistics, 2 Edition by Karl-Rudolf Koch
English | 2007 | ISBN: 354072723X | 250 pages | PDF | 1,6 MB

The Introduction to Bayesian Statistics (2nd Edition) presents Bayes’ theorem, the estimation of unknown parameters, the determination of confidence regions and the derivation of tests of hypotheses for the unknown parameters, in a manner that is simple, intuitive and easy to comprehend.

Introduction to Bayesian Statistics, 2 Edition (repost)  eBooks & eLearning

Posted by interes at Jan. 16, 2014
Introduction to Bayesian Statistics, 2 Edition (repost)

Introduction to Bayesian Statistics, 2 Edition by Karl-Rudolf Koch
English | 2007 | ISBN: 354072723X | 250 pages | PDF | 1,6 MB

The Introduction to Bayesian Statistics (2nd Edition) presents Bayes’ theorem, the estimation of unknown parameters, the determination of confidence regions and the derivation of tests of hypotheses for the unknown parameters, in a manner that is simple, intuitive and easy to comprehend.

Statistical Bioinformatics: with R (repost)  eBooks & eLearning

Posted by libr at Jan. 11, 2014
Statistical Bioinformatics: with R (repost)

Statistical Bioinformatics: with R by Sunil Mathur
English | 2010 | ISBN: 0123751047 | 336 pages | PDF | 3,5 MB

Designed for a one or two semester senior undergraduate or graduate bioinformatics course, Statistical Bioinformatics takes a broad view of the subject - not just gene expression and sequence analysis, but a careful balance of statistical theory in the context of bioinformatics applications.