Statistical Methods for Microarray Data Analysis

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F13%3A10159485" target="_blank" >RIV/00216208:11320/13:10159485 - isvavai.cz</a>
Result on the web
<a href="http://link.springer.com/book/10.1007%2F978-1-60327-337-4" target="_blank" >http://link.springer.com/book/10.1007%2F978-1-60327-337-4</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-1-60327-337-4" target="_blank" >10.1007/978-1-60327-337-4</a>

Result language
angličtina
Original language name
Statistical Methods for Microarray Data Analysis
Original language description
Microarrays for simultaneous measurement of redundancy of RNA species are widely used for fundamental biology research. They are also tested for their use in personalized medicine in disease diagnosis and prognosis. From the point of mathematical statistics, the invention of microarray technology in the mid-1990s allowed the simultaneous monitoring of the expression levels of thousands of genes. Microarrays for simultaneous measurement of redundancy of RNA species are used in fundamental biology as wellas in medical research. Microarray may be considered as an observation of very high dimensionality equal to the number of expression levels. There arise some needs to develop new statistical methods to handle the data of such large dimensionality, especially connected to the fact of small number of observations (which is the number of arrays). Because of the small number of observations the standard asymptotic methods of multivariate statistical analysis appear to be inapplicable. The a
Czech name
—
Czech description
—

Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Similar results(10)