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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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| Pubblicato in: | PLoS One |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Public Library of Science
2020
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| Soggetti: | |
| Accesso online: | 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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