Normalization: "Sum by columns" has been modified to provide log-abundances compatible with subsequent processing.
Normalization: Any normalization can now be applied "for each condition independantly" or "globally".
Imputation: All methods are now only applied "for each condition independantly".
New features
The entire pipeline is now compatible with datasets with more than 2 conditions.
Descriptive statistics: The expression datasets are colored with respect to the nature of missing value (either POV or MEC, see below), even when the value has been imputed.
Filtering: Manage designs with more than 2 conditions and with conditions containing different number of samples.
Filtering: More user friendly interface for the string-based filtering (Tab 2).
Imputation (protein level): Distinction between missing values on an entire condition (Missing on the Entire Condition - MEC) and the other ones (Partially Observed Value - POV).
Imputation (protein level): for POV, it is possible to use SLSA which take into account the experimental design.
Differential analysis: All tests can be applied on datasets with different number of samples in each condition.
Differential analysis: Limma takes into account all the hierarchical experimental designs.
GO analysis: the GeneID nomenclature is now available.
News in Prostar 1.10
Bug fixed
not traced.
New features
Gene Ontology (GO) analysis (Beta version).
Automatic report generation (Beta).
Preliminary separation between peptide and protein level pipelines.