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Sequence count data are poorly fit by the negative binomial distribution
Sequence count data are commonly modelled using the negative binomial (NB) distribution. Several empirical studies, however, have demonstrated that methods based on the NB-assumption do not always succeed in controlling the false discovery rate (FDR) at its nominal level. In this paper, we propose a...
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| Gepubliceerd in: | PLoS One |
|---|---|
| Hoofdauteurs: | , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Public Library of Science
2020
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7192467/ https://ncbi.nlm.nih.gov/pubmed/32352970 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0224909 |
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