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A new argument (data_type) added to the create_df function to
accommodate other types of LFQ data (raw intensity, iBAQ).
A new input type added
A new argument input_type added to the create_df function to
allow users to input data from a standard quantitative matrix.
Workflow changes
To allow for missing data imputation prior to or after data normalization
step (depending on the imputation method used), the following changes were made:
norm_df and imp_df arguments replaced with a generic df argument in
the functions, find_dep, impute_na, normalize_data, and heatmap_de
A note was added to the tutorials to clarify that for some imputation
methods, such as the kNN method, data normalization should be performed prior
to imputation.
Default machine learning algorithms
naive_bayes added to the default algorithm_list argument in the train_models function.