The shape of gene expression distributions matter: how incorporating distribution shape improves the interpretation of cancer transcriptomic data

BACKGROUND: In genomics, we often assume that continuous data, such as gene expression, follow a specific kind of distribution. However we rarely stop to question the validity of this assumption, or consider how broadly applicable it may be to all genes that are in the transcriptome. Our study inves...

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Detalles Bibliográficos
Autores principales: de Torrenté, Laurence, Zimmerman, Samuel, Suzuki, Masako, Christopeit, Maximilian, Greally, John M., Mar, Jessica C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7768656/
https://www.ncbi.nlm.nih.gov/pubmed/33371881
http://dx.doi.org/10.1186/s12859-020-03892-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7768656/
https://www.ncbi.nlm.nih.gov/pubmed/33371881
http://dx.doi.org/10.1186/s12859-020-03892-w

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