Description Usage Arguments Details Value References
Determine cut-off thresholds for hit selection using the quartile method.
1 |
x |
numeric vector or a data frame |
subset |
logical vector specifying the subset to be included in the calculation; |
cFac |
stringency factor c |
A less error-prone method of identifying outliers in skewed distributions, see reference for details.
c factor of 1.7239 corresponds to a z score threshold of 3 and an error rate of 0.0027. c factor of 0.9826 corresponds to a z score threshold of 2 and an error rate of 0.0455.
Named numeric vector of length 2, giving the calculated cut-off thresholds, given the specified c factor.
Robust statistical methods for hit selection in RNA interference high-throughput screening experiments.
Xiaohua Douglas Zhang et al., Pharmacogenetics 2006, Apr 7
doi: 10.2217/14622416.7.3.229
PubMed ID: 16610941
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