\name{NEWS} \title{News for Package \pkg{scDD}} \section{Version 1.1.7, (2017-10-23)}{ \itemize{ \item{A parameter 'level' was added to the main 'scDD' function which allows the user to control the significance level used as the cutoff for considering a gene to be differentially distributed. Previously it was fixed at 0.05 (now the default value).} \item{Two columns were added to the results object that contain (1) an overall combined p-value (via Fisher's method) for nonzero and zero differences, and (2) Benjamini-Hochberg adjusted version of (1).} \item{If `testZeroes` is FALSE, the columns with p-values for the test of differential dropout are no longer included. Previously they held NA values} \item{If `testZeroes` is TRUE, all zero test p-values are included in the output. Previously, only the tests where the nonzero test was not significant were reported.} } } \section{Version 1.1.5, (2017-09-27)}{ \itemize{ \item{The input and output object of the main scDD function has been changed from SummarizedExperiment to SingleCellExperiment to increase interoperability among other Bioconductor packages} \item{The simulateSet function now returns a SingleCellExperiment object (previously it returned an object in list format)} \item{The preprocess function now takes as input a SingleCellExperiment object instead of a list of data frames} } } \section{Version 1.0.0, Bioconductor 3.5 Release (2017-04-23)}{ \itemize{ \item{scDD is a package for identifying differentially distributed genes in single-cell RNA-seq data. It is designed to detect differences in expression that are more complex than a simple mean shift, including:} \item{traditional differential expression (DE)} \item{differential modality (DM)} \item{differential proportion of cells in each state (DP)} \item{both differential modality and differential proportion (DB)} } } \section{Version 0.99.0 (2016-12-07)}{ \itemize{ \item Package prepared for Bioconductor submission. } }