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...

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Detalles Bibliográficos
Autores principales: Li, Qian, Noel-MacDonnell, Janelle R., Koestler, Devin C., Goode, Ellen L., Fridley, Brooke L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Methodology Article
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

Internet

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

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