Assessing Dissimilarity Measures for Sample-Based Hierarchical Clustering of RNA Sequencing Data Using Plasmode Datasets: e0132310

Sample- and gene- based hierarchical cluster analyses have been widely adopted as tools for exploring gene expression data in high-throughput experiments. Gene expression values (read counts) generated by RNA sequencing technology (RNA-seq) are discrete variables with special statistical properties,...

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Veröffentlicht in:	PloS one 2015-07, Vol.10 (7)
Hauptverfasser:	Reeb, Pablo D, Bramardi, Sergio J, Steibel, Juan P
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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