Improving the accuracy of expression data analysis in time course experiments using resampling

• Verfasst von: Walter, Wencke [VerfasserIn]
• Verfasst von: Gaquerel, Emmanuel [VerfasserIn]
• Titel: Improving the accuracy of expression data analysis in time course experiments using resampling
• Verf.angabe: Wencke Walter, Bernd Striberny, Emmanuel Gaquerel, Ian T. Baldwin, Sang-Gyu Kim and Ines Heiland
• Fussnoten: Gesehen am 26.06.2017
• Titel Quelle: Enthalten in: BMC bioinformatics
• Jahr Quelle: 2014
• Band/Heft Quelle: 15(2014) Artikel-Nummer 352, 9 Seiten
• ISSN Quelle: 1471-2105
• DOI: doi:10.1186/s12859-014-0352-8
• Datenträger: Online-Ressource
• Sprache: eng
• K10plus-PPN: 1560177977

Abstract

As time series experiments in higher eukaryotes usually obtain data from different individuals collected at the different time points, a time series sample itself is not equivalent to a true biological replicate but is, rather, a combination of several biological replicates. The analysis of expression data derived from a time series sample is therefore often performed with a low number of replicates due to budget limitations or limitations in sample availability. In addition, most algorithms developed to identify specific patterns in time series dataset do not consider biological variation in samples collected at the same conditions.