R/SEPA.R

#' SEPA: Single-Cell Gene Expression Pattern Analysis
#'
#' SEPA provides useful functions to analysis gene expression patterns and perform GO analysis for single-cell RNA-seq data.
#'
#' Given single-cell RNA-seq data and true experiment time of cells or pseudo-time cell ordering, SEPA provides convenient functions 
#' for users to assign genes into different gene expression patterns such as constant, monotone increasing and increasing then decreasing. 
#' SEPA then performs GO enrichment analysis to analysis the functional roles of genes with same or similar patterns.
#' SEPA comes with a user-friendly Graphical User Interface written in shiny.
#' 
#' @docType package
#' @name SEPA
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SEPA documentation built on May 6, 2019, 2:42 a.m.