Cargando…
Subject level clustering using a negative binomial model for small transcriptomic studies
BACKGROUND: Unsupervised clustering represents one of the most widely applied methods in analysis of high-throughput ‘omics data. A variety of unsupervised model-based or parametric clustering methods and non-parametric clustering methods have been proposed for RNA-seq count data, most of which perf...
| Autores principales: | , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2018
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6292049/ https://www.ncbi.nlm.nih.gov/pubmed/30541426 http://dx.doi.org/10.1186/s12859-018-2556-9 |