R: Classification and Clustering of Sequencing Data Based on a Poisson Model

# Classification and Clustering of Sequencing Data Based on a Poisson Model

## Documentation for package ‘PoiClaClu’ version 1.0.2.1

- DESCRIPTION file

## Help Pages

PoiClaClu-package | Classification and clustering of RNA sequencing data using a Poisson model
Classify | Classify observations using a Poisson model.
Classify.cv | Function to do cross-validation for Poisson classification.
ColorDendrogram | Color the leaves in a hierarchical clustering dendrogram
CountDataSet | Generate a simulated sequencing data set using a negative binomial model.
FindBestTransform | Find the power transformation that makes a data set approximately Poisson.
PoiClaClu | Classification and clustering of RNA sequencing data using a Poisson model
PoissonDistance | Given a n-by-p data matrix, compute the corresponding n-by-n Poisson dissimilarity matrix.