IsoExampleList


	'IsoExampleList' gives the isoform level simulated data with 5 ordered conditions, triplicates for each condition.
  The data set was simulated following the Negative Binomial distribution. The parameters of each isoform (mean and overdispersion)
	  were sampled from the isoform level empirical estimates from an empirical RNA-Seq data set from Thomson lab at Morgridge Institute for 
		  Research.   


datasets

The EBSeqHMM package implements an auto-regressive hidden Markov model for statistical analysis in ordered RNA-seq experiments (e.g. time course or spatial course data). The EBSeqHMM package provides functions to identify genes and isoforms that have non-constant expression profile over the time points/positions, and cluster them into expression paths.

Ning Leng

EBSeqHMM

Bayesian analysis for identifying gene or isoform expression
changes in ordered RNA-seq experiments

IsoExampleList function

IsoExampleList is a list with three components. IsoExampleList$IsoExampleData contains a
		matrix with 200 isoform (rows) and 15 samples (columns). IsoExampleList$IsoNames contains a vector of isoform names.
		IsoformExampleList$IsosGeneNames contains a vector indicating the gene each isoform belongs to.

Format

'IsoExampleList' gives the isoform level simulated data with 5 ordered conditions, triplicates for each condition.
  The data set was simulated following the Negative Binomial distribution. The parameters of each isoform (mean and overdispersion)
	  were sampled from the isoform level empirical estimates from an empirical RNA-Seq data set from Thomson lab at Morgridge Institute for 
		  Research.

IsoExampleList: Simulated isoform level data set with 5 ordered conditions

Description

Arguments

Format

See Also

Examples