LPC_PSSM {PSSMCOOL} | R Documentation |
This function uses Linear predictive coding algorithm for each column of PSSM Matrix
. so in this script lpc
function is used which produces a 14-dimensional
vector for each column, since PSSM has 20 column eventually it will be obtained a 20*14=280 dimensional
feature vector for each PSSM Matrix by this function.
LPC_PSSM(pssm_name)
pssm_name |
name of PSSM Matrix file |
feature vector of length 280
L. Li et al., "PSSP-RFE: accurate prediction of protein structural class by recursive feature extraction from PSI-BLAST profile, physical-chemical property and functional annotations," vol. 9, no. 3, 2014.
X<-LPC_PSSM(system.file("extdata", "C7GQS7.txt.pssm", package="PSSMCOOL"))