Features Extracted from Position Specific Scoring Matrix (PSSM)

Documentation for package ‘PSSMCOOL’ version 0.2.1

PSSMCOOL-package	PSSMCOOL:Extracting Various Feature vectors from PSSM Matrix
AATP_TPCC	AATP_TPC feature vector
AB_PSSM	AB-PSSM and RPM-PSSM feature vector
Averag_Block	Averag Block feature vector
consunsus_sequence	consunsus_sequence
CS_PSe_PSSM	CSP-SegPseP-SegACP feature vector
DFMCA_PSSM	DMACA-PSSM feature
Discrete_Cosine_Transform	Discrete Cosin Transform Feature
disulfid	Disulfide connectivity feature
DPC_PSSM	DPC-PSSM,AAC-PSSM and AADP-PSSM feature vectors
DP_PSSM	DP_PSSM feature vector
dwt_PSSM	discrete wavelet transform feature vector
EDP_MEDP	EDP_EEDP_MEDP feature vector
FPSSM	D-FPSSM and SF-PSSM feature vectors
FPSSM2	Mixture of Two FPSSM Features
grey_pssm_pseAAC	grey pssm feature vector
kiderafactor	kiderafactor feature
k_mers	3-mer and 2-mer in dataframe
k_seperated_bigrame	k_seperated_bigrame feature vector
LPC_PSSM	Linear predictive coding feature
MBMGACPSSM	MBMGACPSSM feature
pse_pssm	pseudo position-specific scoring matrix feature
pssm400	PSSM400 feature
PSSMAC	PSSMAC feature
PSSMBLOCK	PSSM BLOCK feature vector
pssm_ac	auto covariance transformation feature vector
pssm_cc	Cross covarianse feature vector
PSSM_SD	PSSM-SD feature
pssm_seg	PSSM-Seg feature vector
rpssm	RPSSM feature
scsh2	SCSH Feature vector
single_Average	single Average feature
smoothed_PSSM	smoothed PSSM feature
SOMA_PSSM	SOMA PSSM Feature
SVD_PSSM	Singular Value Decomposition (SVD)
three_mer	3-Mer and 2-Mer
trigrame_pssm	trigrame feature vector