Assessing dissimilarity measures for sample-based hierarchical clustering of RNA sequencing data using plasmode datasets
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,...
Guardado en:
| Autores principales: | Reeb, Pablo D., Bramardi, Sergio Jorge, Steibel, Juan P. |
|---|---|
| Formato: | Articulo |
| Lenguaje: | Inglés |
| Publicado: |
2015
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| Materias: | |
| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/86218 |
| Aporte de: |
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