MAST-package: MAST: Model-based Analysis of Single- cell Transcriptomics
In RGLab/MAST: Model-based Analysis of Single Cell Transcriptomics
MAST-package R Documentation
MAST: Model-based Analysis of Single- cell Transcriptomics
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:
RGLab/MAST documentation built on Sept. 30, 2023, 1:08 p.m.
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.
| MAST-package | R Documentation |
MAST: Model-based Analysis of Single- cell Transcriptomics
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.