pse_pssm {PSSMCOOL} | R Documentation |
pseudo position-specific scoring matrix feature
Description
This feature vector is combination of feature vector and vector of
correlation factors correspond to 20 columns in PSSM Matrix.
actually is mean of PSSM Matrix
columns of length 20.
Usage
pse_pssm(pssm_name, g = 1)
Arguments
pssm_name |
is the name of PSSM matrix file |
g |
a parameter Which its size corresponds to the database used. |
Value
feature vector of length 20+20*g
References
D.-J. Yu et al., "Learning protein multi-view features in complex space," vol. 44, no. 5, pp. 1365-1379, 2013.
Chou, K.C. and Shen, H.B. (2007) MemType-2L: a web server for predicting membrane proteins and their types by incorporating evolution information through Pse-PSSM, Biochemical and Biophysical Research Communications, 360, 339-345.
Examples
X<-pse_pssm(system.file("extdata", "C7GQS7.txt.pssm", package="PSSMCOOL"))
[Package PSSMCOOL version 0.2.4 Index]