rpssm: RPSSM feature
In PSSMCOOL: Features Extracted from Position Specific Scoring Matrix (PSSM)
Description
Usage
Arguments
Value
References
Examples
Description
To obtain this feature, first the columns of the PSSM matrix are merged to obtain an L*10 matrix. Then,
with a relationship similar to the auto covariance transformation feature, this feature with a length of 110 is
obtained from this matrix.
Usage
1
rpssm(pssm_name)
Arguments
pssm_name
name of PSSM Matrix file
Value
feature vector of length 110
References
Ding, S., et al. (2014) A protein structural classes prediction method based on predicted secondary structure and
PSI-BLAST profile, Biochimie, 97, 60-65.
Examples
1
X<-rpssm(system.file("extdata", "C7GQS7.txt.pssm", package="PSSMCOOL"))
PSSMCOOL documentation built on Jan. 4, 2022, 5:07 p.m.
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Description Usage Arguments Value References Examples
Description
To obtain this feature, first the columns of the PSSM matrix are merged to obtain an L*10 matrix. Then, with a relationship similar to the auto covariance transformation feature, this feature with a length of 110 is obtained from this matrix.
Usage
1 | rpssm(pssm_name)
|
Arguments
pssm_name |
name of PSSM Matrix file |
Value
feature vector of length 110
References
Ding, S., et al. (2014) A protein structural classes prediction method based on predicted secondary structure and PSI-BLAST profile, Biochimie, 97, 60-65.
Examples
1 | X<-rpssm(system.file("extdata", "C7GQS7.txt.pssm", package="PSSMCOOL"))
|
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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