Investigating skewness to understand gene expression heterogeneity in large patient cohorts

BACKGROUND: Skewness is an under-utilized statistical measure that captures the degree of asymmetry in the distribution of any dataset. This study applied a new metric based on skewness to identify regulators or genes that have outlier expression in large patient cohorts. RESULTS: We investigated wh...

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Detalles Bibliográficos
Autores principales: Church, Benjamin V., Williams, Henry T., Mar, Jessica C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6923883/
https://www.ncbi.nlm.nih.gov/pubmed/31861976
http://dx.doi.org/10.1186/s12859-019-3252-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6923883/
https://www.ncbi.nlm.nih.gov/pubmed/31861976
http://dx.doi.org/10.1186/s12859-019-3252-0

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