NEWS
RNAseqQC 0.2.1 (2024-07-15)
- bug fix to not convert factors to numerical before PCA plotting
RNAseqQC 0.2
- Add the possibility to plot gene expression in plot_pca()
- plot_pca() and plot_pca_scatters() now detect if the variable to color by is
continuous or discrete and chooses an appropriate, colorblind friendly color scale
- Add option to plot rasterised points in plot_pca_scatters()
- It is now possible to plot squared loadings in the plot_loadings() function
- Fix a bug where the distance parameter was ignored in plot_sample_clustering()
- Fix a bug where the annotate_top_n parameter didn't work in plot_loadings() when
the input was a matrix
RNAseqQC 0.1.4 (2022-06-15)
- Fix of bug in plot_pca() that was introduced in the previous version, causing
the the feature selection to be circumvented.
- Add three dots argument to plot_sample_clustering() to modify the heatmap
- Add documentation to plot_sample_clustering() indicating that it can be used with
an arbitrary SummarizedExperiment object.
- Improved truncation of too large values in plot_chromosome()
RNAseqQC 0.1.3 (2022-05-27)
- MA plots between replicates better handle missing values
- chromosome heatmaps are not scaled by default anymore
- plot_pca better handles missing values by first mean-imputing NAs and then selecting top-variable features
- added a function to make a matrix of PCA scatter plots to plot each PC against each other
- allow to specify a design during make_dds
RNAseqQC 0.1.2 (2022-04-27)
- Fixed issue when the results object fed into plot_ma() contains s-values.
- Add GC content gene annotation.
RNAseqQC 0.1.1 (2022-03-18)
- Fixed some package dependencies by moving ggsci to Imports and updating the data vignette.
RNAseqQC 0.1.0 (2022-03-17)