TopKLists: a comprehensive R package for statistical inference, stochastic aggregation, and visualization of multiple omics ranked lists
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14110%2F15%3A00083345" target="_blank" >RIV/00216224:14110/15:00083345 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1515/sagmb-2014-0093" target="_blank" >http://dx.doi.org/10.1515/sagmb-2014-0093</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1515/sagmb-2014-0093" target="_blank" >10.1515/sagmb-2014-0093</a>
Alternative languages
Result language
angličtina
Original language name
TopKLists: a comprehensive R package for statistical inference, stochastic aggregation, and visualization of multiple omics ranked lists
Original language description
High-throughput sequencing techniques are increasingly affordable and produce massive amounts of data. Together with other high-throughput technologies, such as microarrays, there are an enormous amount of resources in databases. The collection of thesevaluable data has been routine for more than a decade. Despite different technologies, many experiments share the same goal. For instance, the aims of RNA-seq studies often coincide with those of differential gene expression experiments based on microarrays. As such, it would be logical to utilize all available data. However, there is a lack of biostatistical tools for the integration of results obtained from different technologies. Although diverse technological platforms produce different raw data, one commonality for experiments with the same goal is that all the outcomes can be transformed into a platform-independent data format - rankings - for the same set of items.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
CE - Biochemistry
OECD FORD branch
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Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
STATISTICAL APPLICATIONS IN GENETICS AND MOLECULAR BIOLOGY
ISSN
2194-6302
e-ISSN
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Volume of the periodical
14
Issue of the periodical within the volume
3
Country of publishing house
DE - GERMANY
Number of pages
6
Pages from-to
311-316
UT code for WoS article
000355417300008
EID of the result in the Scopus database
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