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qpcrNorm (version 1.30.0)

ctQc: Quality Control Filter for Replicate Ct Values

Description

This function applies a quality control filter to triplicate Ct values before combining them into a single summary Ct measure. Current implementation can only handle three replicates.

Usage

ctQc(x)

Arguments

x
Matrix with three columns, corresponding to the triplicate Ct values.

Value

Numeric vector of Ct values combined over the three replicates according to the QC filter.

Details

Applying ctQc is an alternative to averaging the triplicate Ct values. This filter was originally developed by Yasumasa Kimura 1. For each primer, sort Ct values in ascending order so we have [ct1, ct2, ct3]. 2. Take two differences difference1 := ct2 - ct1 difference2 := ct3 - ct2 If either or both have ct 40, we don't calculate the difference and set it to region 4 in the next step. 3. Take an average according to the differences. Here we have 2 thresholds : 0.2 and 1.0. With the thresholds, we classify the 2 differences into the below regions. region1 : difference

See Also

readQpcr, readQpcrBatch

Examples

Run this code
	## myQpcrBatch <- readQpcrBatch(qc=T)	# reads in data from a batch of qPCR experiments, applies ctQc to raw Ct values

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