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Papers: 10.1038/s42003-021-02146-6

https://doi.org/10.1038/s42003-021-02146-6

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

Cited by: 38
Author(s): Liyun He, José Dávila-Velderrain, Tomokazu Sumida, David A. Hafler, M Kellis, Alexander M. Kulminski
Published: about 4 years ago

Software Mentions 8

bioconductor: scater
Single-Cell Analysis Toolkit for Gene Expression Data in R
Papers that mentioned: 79
Very Likely Science (100)
cran: glmmTMB
Generalized Linear Mixed Models using Template Model Builder
Papers that mentioned: 373
Very Likely Science (100)
cran: lme4
Linear Mixed-Effects Models using 'Eigen' and S4
Papers that mentioned: 9,267
Very Likely Science (100)
cran: MASS
Support Functions and Datasets for Venables and Ripley's MASS
Papers that mentioned: 2,353
Very Likely Science (100)
cran: nloptr
R Interface to NLopt
Papers that mentioned: 21
Very Likely Science (100)
cran: pathfindR
Enrichment Analysis Utilizing Active Subnetworks
Papers that mentioned: 19
Very Likely Science (95)
cran: scCATCH
Single Cell Cluster-Based Annotation Toolkit for Cellular Heterogeneity
Papers that mentioned: 4
Very Likely Science (100)
cran: Seurat
Tools for Single Cell Genomics
Papers that mentioned: 1,512
Very Likely Science (100)