quartile: quartile method of hit selection

Description Usage Arguments Details Value References

View source: R/fun-quartile.R

Description

Determine cut-off thresholds for hit selection using the quartile method.

Usage

1
quartile(x, subset = TRUE, cFac = 1.7239)

Arguments

x

numeric vector or a data frame

subset

logical vector specifying the subset to be included in the calculation;

cFac

stringency factor c

Details

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.

Value

Named numeric vector of length 2, giving the calculated cut-off thresholds, given the specified c factor.

References

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


olobiolo/siscreenr documentation built on Nov. 26, 2021, 3:08 p.m.