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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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Bibliografiske detaljer
Udgivet i:BMC Bioinformatics
Main Authors: de Torrenté, Laurence, Zimmerman, Samuel, Suzuki, Masako, Christopeit, Maximilian, Greally, John M., Mar, Jessica C.
Format: Artigo
Sprog:Inglês
Udgivet: BioMed Central 2020
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7768656/
https://ncbi.nlm.nih.gov/pubmed/33371881
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-020-03892-w
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