Advanced Statistical Analysis Specifications
- Multivariate statistical analysis of selected features (spots, proteins
or peptides) from Progenesis SameSpots and Progenesis LC-MS
Data Table
- Calculation and display of ANOVA p-values
- Calculation and display of q-values for indication of False Discovery
Rate (FDR)
- Feature(s) shown in expression profile view
- Selected feature(s) highlighted on Principal Components Analysis (PCA)
plot
- Selected feature(s) highlighted on Correlation Analysis dendrogram
view
- Calculation and display of feature power
- Colour coding of data in table by cluster
Feature Tags
- Colour coded tags to assist with data exploration
- Right click on highlighted group of features to tag
- Add name label to spot tag
- Filter spot list by tags
- Tag editing
- Features can be tagged multiple times
- Feature tags maintained throughout the workflow
Image View*
- Display of whole image with selected features highlighted
- Colour coded display of features which cluster in the correlation
analysis
*Currently only available for the analysis of 2D image analysis data
from Progenesis SameSpots
Principal Components Analysis
- Calculate principal components based on all features
- Visualisation of samples and features score and as loading plots on
PCA graph with samples and features highlighted for visual confirmation
of clustering
- Colour coded display of features which cluster in the correlation
analysis
- Selection of principal components to display on axis
- Zoom functionality
Correlation Analysis
- Correlation analysis and visualisation of feature expression
- Visualisation of clustered features showing correlation expression
profiles
- Hierarchical clustering of features based on expression profile data
and visualisation with an interactive dendrogram
- Multiple selection of dendrogram nodes for expression profile comparison
- Multiple group selection on dendrogram by setting click and drag "pruning
threshold" for expression profile comparison
- Zoom functionality
Power Analysis
- Post hoc, per feature power calculations
- Prediction of required replicates for 80% power per spot based on
measured data