Posted by **ChrisRedfield** at Nov. 4, 2014

Published: 2013-04-27 | ISBN: 1461464455 | PDF | 157 pages | 3 MB

Posted by **arundhati** at April 28, 2014

2013 | ISBN: 1461464455 | 172 pages | PDF | 3 MB

Posted by **nebulae** at Nov. 8, 2013

English | ISBN: 1461464455 | 2013 | 172 pages | PDF | 3 MB

Posted by **interes** at April 23, 2016

English | 2012 | ISBN: 9814293768 | 356 pages | PDF | 4 MB

Posted by **ksveta6** at Dec. 14, 2015

2009 | ISBN: 0898716926 | English | 281 pages | PDF | 2 MB

Posted by **nebulae** at Nov. 2, 2015

English | ISBN: 0470669527 | 2012 | PDF | 391 pages | 4 MB

Posted by **BUGSY** at May 26, 2015

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…

Posted by **libr** at Sept. 2, 2014

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.

Posted by **interes** at Jan. 16, 2014

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.

Posted by **libr** at Jan. 11, 2014

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.