Latent Model-Based Clustering for Biological Discovery

LOVE, a robust, scalable latent model-based clustering method for biological discovery, can be used across a range of datasets to generate both overlapping and non-overlapping clusters. In our formulation, a cluster comprises variables associated with the same latent factor and is determined from an...

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Detalles Bibliográficos
Autores principales: Bing, Xin, Bunea, Florentina, Royer, Martin, Das, Jishnu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6449745/
https://www.ncbi.nlm.nih.gov/pubmed/30954780
http://dx.doi.org/10.1016/j.isci.2019.03.018

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6449745/
https://www.ncbi.nlm.nih.gov/pubmed/30954780
http://dx.doi.org/10.1016/j.isci.2019.03.018

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