Changes in version 1.3.3 NEW FEATURE - plot_gene_express() now has option to add label points with parameter label_points. Changes in version 1.3.2 NEW FEATURES - findMarkers_1vAll() now only returns standardized log fold-change values, which cuts default run time roughly in half. A new parameter raw_logFC has been added; when TRUE, it yields the old behavior of returning both versions of the log fold-change. - findMarkers_1vAll() can now be parallelized with near-linear speedup via a new BPPARAM parameter. Changes in version 1.3.1 NEW FEATURES - get_mean_ratio() has a new BPPARAM parameter allowing parallelization. Run time without parallelization was also marginally improved. Changes in version 1.1.5 BUG FIXES Correct (est_prop/est_prop_test) data usage after changes in v1.1.4 Changes in version 1.1.4 BUG FIXES Package BisqueRNA is no longer a suggested dependency (no longer available on CRAN). Vignette "Deconvolution Benchmark in Human DLPFC" now loads pre-computed est_prop data instead of running Bisque deconvolution. Changes in version 1.1.3 NEW FEATURES - plot_gene_express() now has the option to use "free_y" axis. Changes in version 1.1.2 NEW FEATURES - plot_gene_express() now has the option to change plot_type to 'violin' or 'boxplot' Changes in version 1.1.1 BUG FIXES - get_mean_ratio() was initially coercing sparse matrices into in memory matrices. We resolved this by using MatrixGenerics::rowMeans() and MatrixGenerics::rowMedians(). This issue was reported by @cyntsc. Changes in version 0.99.0 NEW FEATURES - Initial version of DeconvoBuddies that introduces the Mean Ratio method for identifying cluster marker genes as implemented in get_mean_ratio(). This method is described in more detail at https://doi.org/10.1101/2024.02.09.579665. This package also provides a wrapper to scran::findMarkers() for identifying marker genes expressed in one cluster compared to all remaining ones. See findMarkeres_1vAll() for more details. Additionally, DeconvoBuddies provides plotting functions for visualizing gene expression as violin plots across different clusters. These plots are much smaller in size compared to other ones you can make with scater::plotExpression(). See plot_gene_express(), plot_marker_express(), and related functions.