Statistical Methods in Molecular Biology
Statistical Methods in Molecular Biology eBooks & eLearning
Posted by insetes at Jan. 30, 2019
Statistical Methods in Molecular Biology By Heejung Bang, Marie Davidian (auth.), Heejung Bang, Xi Kathy Zhou, Heather L. van Epps, Madhu Mazumdar (eds.)
2010 | 636 Pages | ISBN: 1607615789 | PDF | 10 MB
2010 | 636 Pages | ISBN: 1607615789 | PDF | 10 MB
Statistical Methods in Molecular Biology eBooks & eLearning
Posted by ChrisRedfield at Oct. 31, 2014
Heejung Bang, Xi Kathy Zhou, Heather L. van Epps, Madhu Mazumdar - Statistical Methods in Molecular Biology
Published: 2010-03-09 | ISBN: 1607615789, 1607615819 | PDF | 636 pages | 22 MB
Statistical Methods in Molecular Evolution (Repost) eBooks & eLearning
Posted by DZ123 at May 19, 2019
Rasmus Nielsen, "Statistical Methods in Molecular Evolution"
English | 2005 | ISBN: 0387223339 | PDF | pages: 503 | 9.1 mb
English | 2005 | ISBN: 0387223339 | PDF | pages: 503 | 9.1 mb
Statistical Methods for Microarray Data Analysis: Methods and Protocols (Methods in Molecular Biology) (repost) eBooks & eLearning
Posted by libr at Sept. 21, 2014
Statistical Methods for Microarray Data Analysis: Methods and Protocols (Methods in Molecular Biology) by Andrei Y. Yakovlev, Lev Klebanov and Daniel Gaile
English | ISBN: 1603273360 | 2013 | PDF | 225 pages | 3,3 MB
English | ISBN: 1603273360 | 2013 | PDF | 225 pages | 3,3 MB
Microarrays for simultaneous measurement of redundancy of RNA species are used in fundamental biology as well as in medical research. Statistically,a microarray may be considered as an observation of very high dimensionality equal to the number of expression levels measured on it.
Statistical Methods for Microarray Data Analysis: Methods and Protocols (Methods in Molecular Biology) eBooks & eLearning
Posted by avava at Aug. 13, 2013
Andrei Y. Yakovlev, "Statistical Methods for Microarray Data Analysis: Methods and Protocols (Methods in Molecular Biology)"
ISBN: 1603273360 | 2013 | PDF | 225 pages | 3.2 MB
ISBN: 1603273360 | 2013 | PDF | 225 pages | 3.2 MB
Statistical Methods for Microarray Data Analysis: Methods and Protocols (Methods in Molecular Biology) (repost) eBooks & eLearning
Posted by interes at April 12, 2014
Statistical Methods for Microarray Data Analysis: Methods and Protocols (Methods in Molecular Biology) by Andrei Y. Yakovlev, Lev Klebanov and Daniel Gaile
English | ISBN: 1603273360 | 2013 | PDF | 225 pages | 3,3 MB
English | ISBN: 1603273360 | 2013 | PDF | 225 pages | 3,3 MB
Microarrays for simultaneous measurement of redundancy of RNA species are used in fundamental biology as well as in medical research. Statistically,a microarray may be considered as an observation of very high dimensionality equal to the number of expression levels measured on it.
Statistical Methods in Molecular Evolution (Repost) eBooks & eLearning
Posted by step778 at May 5, 2017
Rasmus Nielsen, "Statistical Methods in Molecular Evolution"
2005 | pages: 503 | ISBN: 0387223339 | PDF | 9,1 mb
2005 | pages: 503 | ISBN: 0387223339 | PDF | 9,1 mb
Statistical Analysis in Proteomics (Methods in Molecular Biology, Book 1362) eBooks & eLearning
Posted by interes at Nov. 7, 2015
Statistical Analysis in Proteomics (Methods in Molecular Biology, Book 1362) by Klaus Jung
English | 2015 | ISBN: 1493931059 | 313 pages | PDF | 10 MB
English | 2015 | ISBN: 1493931059 | 313 pages | PDF | 10 MB
Statistical Analysis in Proteomics (Methods in Molecular Biology, Book 1362) (repost) eBooks & eLearning
Posted by libr at Dec. 2, 2015
Statistical Analysis in Proteomics (Methods in Molecular Biology, Book 1362) by Klaus Jung
English | 2015 | ISBN: 1493931059 | 313 pages | PDF | 10 MB
English | 2015 | ISBN: 1493931059 | 313 pages | PDF | 10 MB
Statistical Methods in Molecular Evolution (Statistics for Biology and Health) by Rasmus Nielsen eBooks & eLearning
Posted by BUGSY at Sept. 13, 2015
Statistical Methods in Molecular Evolution (Statistics for Biology and Health) by Rasmus Nielsen
English | Apr. 21, 2005 | ISBN: 0387223339 | 503 Pages | PDF | 9 MB
English | Apr. 21, 2005 | ISBN: 0387223339 | 503 Pages | PDF | 9 MB
In the field of molecular evolution, inferences about past evolutionary events are made using molecular data from currently living species. With the availability of genomic data from multiple related species, molecular evolution has become one of the most active and fastest growing fields of study…