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,...

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Detalles Bibliográficos
Autores principales: Reeb, Pablo D., Bramardi, Sergio J., Steibel, Juan P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4498680/
https://www.ncbi.nlm.nih.gov/pubmed/26162080
http://dx.doi.org/10.1371/journal.pone.0132310

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4498680/
https://www.ncbi.nlm.nih.gov/pubmed/26162080
http://dx.doi.org/10.1371/journal.pone.0132310

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