Description Usage Arguments Value See Also
This is an internal function to compute thresholds to be used later on for constructing core sets. Two methods are available: using the distance between negative and positive controls to determine the core set, and including in the set a proportion of the lethality scores. If no well annotation is available indicating which wells correspond to assay controls, then core sets are computed using a proportion of all available features. To be used internally, it is called by get.inv.set.
1 2 | get.th.inv.set(data_rscreen, my_gamma = NULL, var_type = c("mad", "IQR",
"sd"), prop = 0.95, set_shape = c("left", "centre"))
|
data_rscreen |
an object of class 'rscreen.object', either yielded by |
my_gamma |
scalar or numeric vector, with value(s) between 0 and a finite
number. Its default value is |
var_type |
string indicating the statistic used as variability measure. Possible values are 'mad' when the median absolute deviation (MAD) is used (the default), 'IQR' when the inter-quartile range is used, and "sd" when the standard deviation is used. |
prop |
scalar between 0 and 1, corresponding to the desired proportion of
lethality scores to be included in the core set, per replicate. The default
value is 0.95. If |
set_shape |
string indicating the shape of the core set. It accepts "left" (the default), when all scores to the left of the set threshold are included, per replicate, and "centre", when scores included in the core set only exclude the largest and smallest ones, at equal frequencies. |
A list with the following elements: the first with the thresholds defining the core sets (one value or pair per sample, so either a vector or a matrix),
get.inv.set
the wrapper that calls this functions and others
to yield the resulting core sets, get.rscreenorm
to normalize data
from multiple screens using core sets and get.leth.scores
to compute
scores that make observations in different screens comparable.
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