Intrinsically Bayesian robust classifier for single-cell gene expression trajectories in gene regulatory networks

BACKGROUND: Expression-based phenotype classification using either microarray or RNA-Seq measurements suffers from a lack of specificity because pathway timing is not revealed and expressions are averaged across groups of cells. This paper studies expression-based classification under the assumption...

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Detalles Bibliográficos
Autores principales: Karbalayghareh, Alireza, Braga-Neto, Ulisses, Dougherty, Edward R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5872504/
https://www.ncbi.nlm.nih.gov/pubmed/29589564
http://dx.doi.org/10.1186/s12918-018-0549-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5872504/
https://www.ncbi.nlm.nih.gov/pubmed/29589564
http://dx.doi.org/10.1186/s12918-018-0549-y

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