NEWS

singscore 1.8.0

implemented a novel approach to scoring that uses measurements from panel-based tests such as RT-qPCR and nanostring
implemented a function that returns a set of stable genes we have identified in carcinomas and in blood
fixed bugs in the multiScore function that produced errors when scoring a single sample
fixed bugs in the generateNull function that produced errors when assessing a single geneset
fixed bugs in the vignette

added link to the F1000research published workflow that demonstrates usage of singscore on a real dataset (https://f1000research.com/articles/8-776/v2)
allow labelling of samples on dispersion plots (plotDispersion) in a similar manner to landscape plots (projectScoreLandscape)

allow continous and discrete annotations for plotDispersion and projectScoreLandscape. Annotations can now be part of the score data.frame and then specified as a column name
plot themes updated
citation updated: cite the singscore manuscript
number of bins for the hexbin plot in plotLandscape is determined from the data
fixed bug in calculation of scores. Boundary calculation was previously done with all genes in the gene-set. It should be done with genes present in both the gene-set and the data (i.e. after filtering out those not measured in the data).
TotalDispersion now estimated as the mean of dispersions from the up- and down-regulated gene sets instead of the sum (previous estimate divided by 2)