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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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| Publicado no: | PLoS One |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2020
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| Assuntos: | |
| Acesso em linha: | 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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