NEBULA is a fast negative binomial mixed model for differential or co-expression analysis of large-scale multi-subject single-cell data

The application of negative binomial mixed models (NBMMs) to single-cell data is computationally demanding. To address this issue, Liang He et al. have developed NEBULA, an efficient algorithm that can analyze differential gene expression or co-expression networks in multi-subject single-cell data s...

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Autores principales: Liang He, Jose Davila-Velderrain, Tomokazu S. Sumida, David A. Hafler, Manolis Kellis, Alexander M. Kulminski
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/1604a175b02d438a8389ecd99650f39c
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