View source: R/missingValuesFilter.R
MetaCellFiltering | R Documentation |
Filters the lines of Biobase::exprs()
table with conditions on the number
of missing values.
The user chooses the minimum amount of intensities that is acceptable and
the filter delete lines that do not respect this condition.
The condition may be on the whole line or condition by condition.
MetaCellFiltering(obj, indices, cmd, processText = "")
obj |
An object of class |
indices |
A vector of integers which are the indices of lines to keep. |
cmd |
xxxx. Available values are: 'delete', 'keep'. |
processText |
A string to be included in the |
The different methods are :
"WholeMatrix": given a threshold th
, only the lines that contain
at least th
values are kept.
"AllCond": given a threshold th
, only the lines which contain
at least th
values for each of the conditions are kept.
"AtLeastOneCond": given a threshold th
, only the lines that contain
at least th
values, and for at least one condition, are kept.
An instance of class MSnSet
that have been filtered.
Florence Combes, Samuel Wieczorek
utils::data(Exp1_R25_pept, package='DAPARdata') obj <- Exp1_R25_pept[1:1000] level <- obj@experimentData@other$typeOfData metacell.mask <- match.metacell(GetMetacell(obj), 'missing', level) indices <- GetIndices_WholeLine(metacell.mask) obj.filter <- MetaCellFiltering(obj, indices, 'delete')
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