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

Description

Performs the detection of a modeled motif in a chormosomics sequence

Usage

1

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 <epeiroatibec.pcb.ub.es>

See Also

ModelPCA, biol.PCA, MEET, detection

Examples

1
2
3
4
5
6
7
8
require("MEET")
data(iicc)
data(TranscriptionFactor)
iicc$method<-"PCA"
iicc$pvalor<-0.1
iicc$parameterIdeal<-2
iicc$model<-ModelPCA(iicc)
DetectedSequences<-PredictPCA(iicc)

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

All documentation is copyright its authors; we didn't write any of that.