pssm_cc: Cross covarianse feature vector
In BioCool-Lab/R-PSSM: Features Extracted from Position Specific Scoring Matrix (PSSM)
Description
Usage
Arguments
Value
References
Examples
Description
The CC variable measures the correlation of two different properties between two residues
separated by a distance of t along the sequence.
Usage
1
Arguments
pssm_name
name of PSSM Matrix file
t
shortest protein length in dataset minus one
Value
feature vector of length 380
References
Dong, Q., Zhou, S. and Guan, J. (2009) A new taxonomy-based protein fold recognition approach
based on autocross-covariance transformation, Bioinformatics, 25, 2655-2662.
Examples
1
aa<-pssm_cc(system.file("extdata","C7GQS7.txt.pssm",package="PSSMCOOL"),18)
BioCool-Lab/R-PSSM documentation built on Jan. 1, 2022, 2:05 p.m.
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Description Usage Arguments Value References Examples
Description
The CC variable measures the correlation of two different properties between two residues separated by a distance of t along the sequence.
Usage
1 |
Arguments
pssm_name |
name of PSSM Matrix file |
t |
shortest protein length in dataset minus one |
Value
feature vector of length 380
References
Dong, Q., Zhou, S. and Guan, J. (2009) A new taxonomy-based protein fold recognition approach based on autocross-covariance transformation, Bioinformatics, 25, 2655-2662.
Examples
1 | aa<-pssm_cc(system.file("extdata","C7GQS7.txt.pssm",package="PSSMCOOL"),18)
|
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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