MAST-package: MAST: Model-based Analysis of Single- cell Transcriptomics
In MAST: Model-based Analysis of Single Cell Transcriptomics
Description
Details
Author(s)
References
See Also
Description
Methods for analysing single cell assay data using hurdle models.
Details
This packages provides data structures and functions for statistical analysis of single-cell assay data such as Fluidigm single cell gene expression assays.
Author(s)
Maintainer: Andrew McDavid Andrew_McDavid@urmc.rochester.edu
Authors:
Greg Finak gfinak@fredhutch.org
Masanao Yajima myajima@fredhutch.org
References
Finak, et al. MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data. Genome Biology (2015).
See Also
Useful links:
MAST documentation built on Nov. 8, 2020, 8:19 p.m.
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Description Details Author(s) References See Also
Description
Methods for analysing single cell assay data using hurdle models.
Details
This packages provides data structures and functions for statistical analysis of single-cell assay data such as Fluidigm single cell gene expression assays.
Author(s)
Maintainer: Andrew McDavid Andrew_McDavid@urmc.rochester.edu
Authors:
Greg Finak gfinak@fredhutch.org
Masanao Yajima myajima@fredhutch.org
References
Finak, et al. MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data. Genome Biology (2015).
See Also
Useful links:
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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