promor 0.2.0
CRAN release: 2023-01-17
New data types allowed
- A new argument (
data_type
) added to thecreate_df
function to accommodate other types of LFQ data (raw intensity, iBAQ).
A new input type added
- A new argument
input_type
added to thecreate_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
andimp_df
arguments replaced with a genericdf
argument in the functions,find_dep
,impute_na
,normalize_data
, andheatmap_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.
-
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 theadj_method
argument. - Fixes an issue with the
file_path
argument for saving the “TopHits.txt” file produced by thefind_dep
function.