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uniq_pep
parameter (see create_df
help page) was incorrectly
described. We corrected the description to match its functionality as
follows: “Numerical. Proteins that are identified by this number or
fewer number of unique peptides are filtered out (default is 2).Only
applies when input_type = "MaxQuant"
.volcano_plot
function plotted
“-log10(P-value)” on the y-axis by default even when
sig = "adjP"
and only colored the dots by their
significance based on “adjP”. In this version, sig = "adjP"
shows “-log10.adj. P-value” on the y-axis and colors the dots
by their “adjP” significance.data_type
) added to the
create_df
function to accommodate other types of LFQ data
(raw intensity, iBAQ).input_type
added to the
create_df
function to allow users to input data from a
standard quantitative matrix.norm_df
and imp_df
arguments replaced with
a generic df
argument in the functions,
find_dep
, impute_na
,
normalize_data
, and heatmap_de
naive_bayes
added to the default
algorithm_list
argument in the train_models
function.create_df
when removing
potential contaminants. The number of potential contaminants removed is
now shown in the console.find_dep
that previously used a
fixed value for the adj_method
argument.file_path
argument for saving
the “TopHits.txt” file produced by the find_dep
function.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.