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promor 0.2.0

CRAN release: 2023-01-17

New data types allowed
  • 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.

promor 0.1.1

CRAN release: 2022-11-01

Bug fixes
  • Fixes a minor issue with create_df when removing potential contaminants. The number of potential contaminants removed is now shown in the console.
  • Fixes an issue with find_dep that previously used a fixed value for the adj_method argument.
  • Fixes an issue with the file_path argument for saving the “TopHits.txt” file produced by the find_dep function.
Other changes
  • Citation file updated with the biorxiv preprint details.
  • Readme file updated with information on the Shiny App.
  • Help pages updated.

promor 0.1.0

CRAN release: 2022-07-20

  • First official release!