promor0.2.2 package

Filter proteins by group level missing data

Compute average intensity

Correlation between technical replicates

Create a data frame of protein intensities

Visualize feature (protein) variation among conditions

Identify differentially expressed proteins between groups

Heatmap of differentially expressed proteins

Visualize missing data

Impute missing values

Visualize the impact of imputation

Visualize the effect of normalization

Normalize intensity data

Proteins that are only expressed in a given group

Model performance plot

Pre-process protein intensity data for modeling

Remove user-specified proteins (features) from a data frame

Remove user-specified samples

ROC plot

Split the data frame to create training and test data

Test machine learning models on test data

Train machine learning models on training data

Variable importance plot

Volcano plot