Changes in version 2.0.0                        

    o   The format of the output of trainSingleR() has changed and is
	no longer back-compatible.

    o   recompute=FALSE in trainSingleR() does nothing; all integrated
	analyses are now done with recompute=TRUE. To that end,
	combineCommonResults() is also deprecated.

    o   genes = "sd" and its associated options in trainSingleR() are
	no longer supported.

    o   first.labels is no longer reported in classifySingleR().

    o   Added another parallelization mechanism via num.threads= and
	C++11 threads. This should be much more memory efficient than
	using BiocParallel.

    o   combineRecomputedScores() will automatically handle mismatches
	in the input references by default.

                        Changes in version 1.6.0                        

    o   Relaxed the requirements for consistent row names in
	combineRecomputedResults().

    o   Support sparse DelayedArray inputs in classifySingleR().

    o   Parallelize over labels instead of rows in
	aggregateReference(), with minor changes in the setting of the
	seed. Restrict the PCA to the top 1000 most highly variable
	genes, for speed.

                        Changes in version 1.4.0                        

    o   Migrated all of the dataset getter functions to the celldex
	package.

    o   Streamlined the vignette to point to the book at
	<http://bioconductor.org/books/devel/SingleRBook/>.

    o   Added a restrict= argument to trainSingleR() and SingleR() to
	easily restrict to a subset of features.

    o   Deprecated the method= argument in SingleR().

    o   Protect against accidental data.frames in ref= or test= in all
	functions.

                        Changes in version 1.2.0                        

    o   Added support for consolidating labels from multiple references
	via combineResults().

    o   Added mappings to standardized Cell Ontology terms in all
	*Data() functions.

    o   Changed the name of the labels input of plotScoreDistribution()
	to labels.use for consistency across functions.

    o   Fixed a label from adipocytes to astrocytes in
	BlueprintEncodeData().

    o   Removed umlauts from labels (e.g., naive) in
	NovershternHematopoieticData() to avoid problems with Windows.

    o   Perform PCA before clustering in aggregateReference() for speed
	and memory efficiency.

    o   Modified genes="all" behavior in trainSingleR() to report
	DE-based markers for fine-tuning only.

                        Changes in version 1.0.0                        

    o   New package SingleR for cell type annotation.