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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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| 出版年: | BMC Bioinformatics |
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| 主要な著者: | , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BioMed Central
2020
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| 主題: | |
| オンライン･アクセス: | 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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