PredictPCA: Q-residuals detection of TFBS, using a principal components...

In MEET: MEET: Motif Elements Estimation Toolkit

Description

Performs the detection of a modeled motif in a chormosomics sequence

Usage

PredictPCA(iicc)

Arguments

iicc	options described in the MEET program

Details

The specific options for this program are the model constructed for the motif, the background probability for the studied organism and the DNA query sequence

Value

output:list of the TFBS found in the studied DNA sequence: Sequence (BS found), pvalue (Pvalue of the given BS) and position (Position within the studied DNA sequence).

Author(s)

Erola Pairo <[e-mail]>

References

Stacklies, Wolfram, Redestig, Henning, Scholz, Matthias, Walther, Dirk, and Selbig, Joachim: pcaMethods a bioconductor package providing PCA methods for incomplete data, Bioinformatics 23(9), volume 23, 2007

See Also

ModelPCA, biol.PCA, MEET, detection

Examples

data(iicc)
iicc$method<-"PCA"
iicc$parameterIdeal<-2
iicc$model<-ModelPCA(iicc)
iicc$threshold<-0.1
DetectedSequences<-PredictPCA(iicc)

MEET documentation built on May 2, 2019, 5:52 p.m.