This Feature stands for dipeptide composition, to get this feature vector for both different
columns the elements in two consecutive rows corresponds to this columns, would be multiplied and this scenario
is done for all L-1 consecutive rows (L is protein length) and finally summation of these numbers divides by
L-1. since the result depends on two different columns, eventually a Feature vector of length 400
will be obtained.
Usage
dpc_pssm(pssm_name)
Arguments
pssm_name
name of PSSM Matrix file
Value
feature vector of length 400
References
Liu, T., Zheng, X. and Wang, J. (2010) Prediction of protein structural class for
low-similarity sequences using support vector machine and PSI-BLAST profile, Biochimie, 92, 1330-1334.