R: gpseq: Using the generalized Poisson distribution to model sequence read counts from high throughput sequencing experiments

# gpseq: Using the generalized Poisson distribution to model sequence read counts from high throughput sequencing experiments

## Documentation for package ‘GPseq’ version 0.5

- DESCRIPTION file.

## Help Pages

calc_chisq_statistic | Calculate Chi-square goodness of fit Statistic for Generalized Poisson and Poisson Models.
estimate_differential_expression | Estimating differential expression statistics for Genes between all possible pairwise conditions
estimate_differential_splicing | Estimating differential splicing statistics for an exon in a gene between all possible pairwise conditions
estimate_exon_gene_expression | Estimating Exon and Gene Expressions using the Poisson and Generalized Poisson Models and calculating their goodness of fit statistic
exons | Exon Annotation Database
generalized_poisson_likelihood | Maximum Likelihood Estimates for the Generalized Poisson Model
genes | Gene annotations
likelihood_ratio_generalized_poisson_exon_gene | Log Likelihood ratio statistic for comparison of the splicing ratio of an exon in two conditions
likelihood_ratio_poisson_exon_gene | Log Likelihood ratio statistic for comparison of the splicing ratio of an exon across two conditions using the Poisson Distribution
likelihood_ratio_tissue_generalized_poisson | Chi Square test statistic for comparison of expression levels of genes/exons across two conditions using the Generalized Poisson model
likelihood_ratio_tissue_poisson | Chi Square test statistic for comparison of expression levels of genes/exons across two conditions using the Poisson Model
perform_permutation_de | Perform a Permutation Test to fit the null distribution of the test statistic to a Gamma Distribution
perform_permutation_ds | Perform a Permutation Test to fit the null distribution of the test statistic to a Gamma Distribution
reads | Mapped Reads