In:
Statistical Applications in Genetics and Molecular Biology, Walter de Gruyter GmbH, Vol. 14, No. 3 ( 2015-01-1)
Abstract:
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 these valuable 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. Here we present the
Type of Medium:
Online Resource
ISSN:
1544-6115
,
2194-6302
DOI:
10.1515/sagmb-2014-0093
Language:
Unknown
Publisher:
Walter de Gruyter GmbH
Publication Date:
2015
detail.hit.zdb_id:
2115012-6
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