Latent dirichlet allocation for double clustering (LDA-DC): discovering patients phenotypes and cell populations within a single Bayesian framework

BACKGROUND: Current clinical routines rely more and more on “omics” data such as flow cytometry data from host and microbiota. Cohorts variability in addition to patients’ heterogeneity and huge dimensions make it difficult to understand underlying structure of the data and decipher pathologies. Pat...

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Detalles Bibliográficos
Autores principales: Hachem, Elie-Julien El, Sokolovska, Nataliya, Soula, Hedi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9948385/
https://www.ncbi.nlm.nih.gov/pubmed/36823548
http://dx.doi.org/10.1186/s12859-023-05177-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9948385/
https://www.ncbi.nlm.nih.gov/pubmed/36823548
http://dx.doi.org/10.1186/s12859-023-05177-4

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