Graph based fusion of high-dimensional gene- and microRNA expression data

Göttingen, Univ., Diss., 2012

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Bibliographische Detailangaben
1. Verfasser:	Gade, Stephan (VerfasserIn)
Weitere Verfasser:	Beissbarth, Tim (BerichterstatterIn), Waack, Stephan (BerichterstatterIn)
Format:	UnknownFormat
Sprache:	eng
Veröffentlicht:	2012
Schlagworte:	Hochschulschrift
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Beschreibung
Zusammenfassung:	Göttingen, Univ., Diss., 2012 One of the main goals in cancer studies including high-throughput microRNA (miRNA) and mRNA data is to find and assess prognostic signatures capable of predicting clinical outcome. Both mRNA and miRNA expression changes in cancer diseases are described to reflect clinical characteristics like staging and prognosis. Furthermore, miRNA abundance can directly affect target transcripts and translation in tumor cells. Prediction models are trained to identify either mRNA or miRNA signatures for patient stratification. With the increasing number of microarray studies collecting mRNA and miRNA fro...
Beschreibung:	119 S.