Changes in version 1.4.0:

    o   Switched default BPPARAM to SerialParam() in all functions.

    o   Added run argument to selectorPlot(). Bug fix to avoid adding an
	 empty list.

    o   Added exploreData() function for visualization of scRNA-seq data.

    o   Minor bug fix to DM() when extrapolation is required.

    o   Added check for centred size factors in trendVar(), decomposeVar()
	 methods. Refactored trendVar() to include automatic start point
	 estimation, location rescaling and df2 estimation.

    o   Moved spike-in specification to the scater package.

    o   Deprecated isSpike<- to avoid confusion over input/output types.

    o   Generalized sandbag(), cyclone() to work for other classification
	 problems.

    o   Added test="f" option in testVar() to account for additional
	 scatter.

    o   Added per.gene=FALSE option in correlatePairs(), expanded accepted
	 value types for subset.row. Fixed an integer overflow in
	 correlatePairs(). Also added information on whether the permutation
	 p-value reaches its lower bound.

    o   Added the combineVar() function to combine results from separate
	 decomposeVar() calls.

    o   Added protection against all-zero rows in technicalCV2().

    o   Added the improvedCV2() function as a more stable alternative to
	 technicalCV2().

    o   Added the denoisePCA() function to remove technical noise via
	 selection of early principal components.

    o   Removed warning requiring at least twice the max size in
	 computeSumFactors(). Elaborated on the circumstances surrounding
	 negative size factors. Increased the default number of window sizes
	 to be examined. Refactored C++ code for increased speed.

    o   Allowed quickCluster() to return a matrix of ranks for use in other
	 clustering methods. Added method="igraph" option to perform
	 graph-based clustering for large numbers of cells.

    o   Added the findMarkers() function to automatically identify potential
	 markers for cell clusters.

    o   Added the overlapExprs() function to compute the overlap in
	 expression distributions between groups.

    o   Added the buildSNNGraph() function to build a SNN graph for cells
	 from their expression profiles.

    o   Added the correctMNN() function to perform batch correction based on
	 mutual nearest neighbors.

    o   Streamlined examples when mocking up data sets.

Changes in version 1.2.0:

    o   Transformed correlations to a metric distance in quickCluster().

    o   Removed normalize() in favour of scater's normalize().

    o   Switched isSpike()<- to accept a character vector rather than a
	 logical vector, to enforce naming of spike-in sets. Also added
	 warning code when the specified spike-in sets overlap.

    o   Allowed compute*Factors() functions to directly return the size
	 factors.

    o   Added selectorPlot() function for interactive plotting.

    o   Switched to a group-based weighted correlation for one-way layouts
	 in correlatePairs() and correlateNull(), and to a correlation of
	 residuals for more complex design matrices.

    o   Added phase assignments to the cyclone() output.

    o   Implemented Brennecke et al.'s method in the technicalCV2()
	 function.

    o   Updated convertTo() to store spike-in-specific size factors as
	 offsets.

    o   Moved code and subsetting into C++ to improve memory efficiency.

    o   Switched to loess-based trend fitting as the default in trendVar(),
	 replaced polynomial with semi-loess fitting.

    o   Added significance statistics to output of decomposeVar(), with only
	 the p-values replaced by NAs for spike-ins.

    o   Updated documentation and tests.

Changes in version 1.0.0:

    o   New package scran, for low-level analyses of single-cell RNA
	 sequencing data.