Two-way learning with one-way supervision for gene expression data

BACKGROUND: A family of parsimonious Gaussian mixture models for the biclustering of gene expression data is introduced. Biclustering is accommodated by adopting a mixture of factor analyzers model with a binary, row-stochastic factor loadings matrix. This particular form of factor loadings matrix r...

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Detalles Bibliográficos
Autores principales: Wong, Monica H. T., Mutch, David M., McNicholas, Paul D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5336648/
https://www.ncbi.nlm.nih.gov/pubmed/28257645
http://dx.doi.org/10.1186/s12859-017-1564-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5336648/
https://www.ncbi.nlm.nih.gov/pubmed/28257645
http://dx.doi.org/10.1186/s12859-017-1564-5

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