pssm_seg: PSSM-Seg feature vector
In PSSMCOOL: Features Extracted from Position Specific Scoring Matrix (PSSM)
Description
Usage
Arguments
Value
References
See Also
Examples
Description
This feature vector uses PSSM-SD to produce Segmented Auto Covariance Features.
Usage
1
pssm_seg(pssm_name, m = 4)
Arguments
pssm_name
name of PSSM Matrix file
m
a parameter between 1 and 11
Value
feature vector of length 100
References
A. Dehzangi, K. Paliwal, J. Lyons, A. Sharma, A. J. I. A. T. o. C. B. Sattar, and Bioinformatics,
"A segmentation-based method to extract structural and evolutionary features for protein fold
recognition," vol. 11, no. 3, pp. 510-519, 2014.
See Also
Examples
1
q<-pssm_seg(system.file("extdata", "C7GQS7.txt.pssm", package="PSSMCOOL"),3)
PSSMCOOL documentation built on Jan. 4, 2022, 5:07 p.m.
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Description Usage Arguments Value References See Also Examples
Description
This feature vector uses PSSM-SD to produce Segmented Auto Covariance Features.
Usage
1 | pssm_seg(pssm_name, m = 4)
|
Arguments
pssm_name |
name of PSSM Matrix file |
m |
a parameter between 1 and 11 |
Value
feature vector of length 100
References
A. Dehzangi, K. Paliwal, J. Lyons, A. Sharma, A. J. I. A. T. o. C. B. Sattar, and Bioinformatics, "A segmentation-based method to extract structural and evolutionary features for protein fold recognition," vol. 11, no. 3, pp. 510-519, 2014.
See Also
Examples
1 | q<-pssm_seg(system.file("extdata", "C7GQS7.txt.pssm", package="PSSMCOOL"),3)
|
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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