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Major changes to filter_cv(). Old
filter_cv() would calculate the coefficient of variance of
the biological groups, calculate the average/median, and remove the
feature if the average/mean was above the threshold. To account for some
groups having high variation by default, the new
filter_cv() will now zero out groups if they are above the
threshold. If every group in the feature has been zeroed out, we will
remove the feature.
filter_cv() has been optimized to use c++ code, so
there should be significant speed improvements.
You are also now able to import data.frames for peak
table input in import_data().
Initial CRAN submission.
Contains four main filters: filter_mispicked_ions(),
filter_group(), filter_cv(), and
filter_insource_ions() for the correction of tandem MS/MS
peaks.
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.
Health stats visible at Monitor.