This feature vector is 8000-dimentional feature vector wich is computed from tri-gram probability matrix
T obtained from PSSM Matrix.to achieve this purpose elements in three successive rows and arbitrary columns are multiplied
together then these results are added together by changing variable i from 1 to L-1, which i is counter of row and L
indicates protein length. since there are 20 columns thus final feature vector would be of length 8000.
Usage
trigrame_pssm(pssm_name)
Arguments
pssm_name
name of PSSM Matrix file
Value
feature vector of lenght 8000
References
Paliwal, K.K., et al. (2014) A tri-gram based feature extraction technique using linear probabilities of position
specific scoring matrix for protein fold recognition, IEEE transactions on nanobioscience, 13, 44-50