PredictMATCH: MATCH algorithm to detect TFBS in a sequence
In MEET: MEET: Motif Elements Estimation Toolkit
Description
Usage
Arguments
Details
Value
Author(s)
See Also
Examples
Description
The model constructed using the MATCH algorithm and the specific parameters for this method are used to detect TFBS within a sequence
Usage
1
Arguments
iicc
options of the MEET program
Details
Uses the MATCH constructed motif, and as a parameter the chosen corecut
Value
output: the detected sequences and its position within the sequence.
Detected Factors
factors detected
P-value
Similarity Score
Position
Position of the detected BS within the large DNA sequence
Author(s)
Erola Pairo <epairo@ibecbarcelona.eu>
See Also
MEET, kfold.MATCH, ModelMATCH
Examples
1
2
3
4
5
6
data(iicc)
data(TranscriptionFactor)
iicc$method<-"MATCH"
iicc$parametersIdeal<-0.8
iicc$model<-ModelMATCH(iicc)
DetectedSequences<-PredictMATCH(iicc)
MEET documentation built on May 2, 2019, 5:52 p.m.
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Description Usage Arguments Details Value Author(s) See Also Examples
Description
The model constructed using the MATCH algorithm and the specific parameters for this method are used to detect TFBS within a sequence
Usage
1 |
Arguments
iicc |
options of the MEET program |
Details
Uses the MATCH constructed motif, and as a parameter the chosen corecut
Value
output: the detected sequences and its position within the sequence.
Detected Factors |
factors detected |
P-value |
Similarity Score |
Position |
Position of the detected BS within the large DNA sequence |
Author(s)
Erola Pairo <epairo@ibecbarcelona.eu>
See Also
MEET, kfold.MATCH, ModelMATCH
Examples
1 2 3 4 5 6 | data(iicc)
data(TranscriptionFactor)
iicc$method<-"MATCH"
iicc$parametersIdeal<-0.8
iicc$model<-ModelMATCH(iicc)
DetectedSequences<-PredictMATCH(iicc)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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