Changelog
Source:NEWS.md
teal.modules.hermes 0.1.6.9033
Miscellaneous
- Added placeholders for
assaySpec,adtteSpecandgeneSpecinputs when no option is selected. - Disabled the select input for
assaySpecandadtteSpecwhen there are no options available. - For module developers: The module gets
teal_dataobject in the UI andreactive(<teal_data>)in the server
Enhancements
- Updated the documentation and vignettes with the new way of specifying data for
teal::init(). Thedataargument acceptsteal_dataobject.
teal.modules.hermes 0.1.5
teal.modules.hermes 0.1.4
- Added the
teal.reporterfunctionality to all modules. - Add installation instruction
teal.modules.hermes 0.1.3
- Improve the selection of sample variables in the forest module (
tm_g_forest_tte) such that only categorical variables can be selected in the first place.
teal.modules.hermes 0.1.2
- Rewrote modules to use
moduleServerand updated call toplot_with_settings_srvafter changes inteal.devel. - Replaced calls to
teal::root_moduleswithteal::modulesfollowing deprecation ofteal::root_modules. - Added basic logging to the modules.
- Fixed the
geneSpecInputso that thehermesapp doesn’t fail anymore (on chrome) on an experiment with no genes.
teal.modules.hermes 0.1.1
Bug Fixes
- Updated legend for the PCA plot.
- Gene selection with more than a few thousand genes no longer hangs the application. This is achieved through a different selection input in the corresponding
geneSpecshiny module. - Only atomic columns of
colDatawith at least one value can now be selected in thesampleVarSpecModule.
teal.modules.hermes 0.1.0
- First release of the
teal.modules.hermespackage, which contains teal modules for RNA-seq analysis using thehermespackage. - New users should first begin by reading the
README.mdof theteal.modules.hermespackage to become familiar.
New Features
-
tm_g_barplotis a barplot module for RNA-seq gene expression analysis. -
tm_g_boxplotis a boxplot module for RNA-seq gene expression analysis. -
tm_g_forest_tteis a survival forest plot module to analyze RNA-seq gene expression data together with survival data. -
tm_g_kmis aKaplan-Meierplot module to analyze RNA-seq gene expression data together with survival data. -
tm_g_pcais a principal components analysis plot module for RNA-seq gene expression analysis. -
tm_g_qualityis a quality control module for RNA-seq gene expression data. -
tm_g_scatterplotis a scatterplot module for RNA-seq gene expression analysis. -
tm_g_volcanoplotis a differential gene expression analysis module.