MBMGACPSSM {PSSMCOOL} | R Documentation |
MBMGACPSSM feature
Description
In this function three different autocorrelation descriptors based on PSSM are adopted, which include: normalized Moreau-Broto autocorrelation, Moran autocorrelation and Geary autocorrelation descriptors.Autocorrelation descriptor is a powerful statistical tool and defined based on the distribution of amino acid properties along the sequence, which measures the correlation between two residues separated by a distance of d in terms of their evolution scores.
Usage
MBMGACPSSM(pssm_name)
Arguments
pssm_name |
name of PSSM Matrix file |
Value
feature vector of length 560
References
Y. Liang, S. Liu, S. J. M. C. i. M. Zhang, and i. C. Chemistry, "Prediction of protein structural class based on different autocorrelation descriptors of position-specific scoring matrix," vol. 73, no. 3, pp. 765-784, 2015.
Examples
X<-MBMGACPSSM(system.file("extdata", "C7GQS7.txt.pssm", package="PSSMCOOL"))
[Package PSSMCOOL version 0.2.4 Index]