This feature is almost identical to the dpc_pssm feature, and in fact the DPC feature is part of
this feature (for k=1) and for two different columns, considers rows that differ by the size of the unit k.
Usage
k_separated_bigrams_pssm(pssm_name, k = 1)
Arguments
pssm_name
is name of PSSM Matrix file
k
a parameter that specifies separated length between amino acids
Value
a feature vector of length 400
References
Saini, H., et al.(2016) Protein Fold Recognition Using Genetic Algorithm Optimized Voting Scheme and Profile
Bigram.