BELMM: Bayesian model selection and random walk smoothing in time-series clustering

MOTIVATION: Due to advances in measuring technology, many new phenotype, gene expression, and other omics time-course datasets are now commonly available. Cluster analysis may provide useful information about the structure of such data. RESULTS: In this work, we propose BELMM (Bayesian Estimation of...

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Detalles Bibliográficos
Autores principales: Sarala, Olli, Pyhäjärvi, Tanja, Sillanpää, Mikko J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10686958/
https://www.ncbi.nlm.nih.gov/pubmed/37963057
http://dx.doi.org/10.1093/bioinformatics/btad686

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10686958/
https://www.ncbi.nlm.nih.gov/pubmed/37963057
http://dx.doi.org/10.1093/bioinformatics/btad686

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