Man pages for PSSMCOOL
Features Extracted from Position Specific Scoring Matrix (PSSM)

AATP_TPCCAATP_TPC feature vector
AB_PSSMAB-PSSM and RPM-PSSM feature vector
Averag_BlockAverag Block feature vector
consunsus_sequenceconsunsus_sequence
CS_PSe_PSSMCSP-SegPseP-SegACP feature vector
DFMCA_PSSMDMACA-PSSM feature
Discrete_Cosine_TransformDiscrete Cosin Transform Feature
disulfidDisulfide connectivity feature
DPC_PSSMDPC-PSSM,AAC-PSSM and AADP-PSSM feature vectors
DP_PSSMDP_PSSM feature vector
dwt_PSSMdiscrete wavelet transform feature vector
EDP_MEDPEDP_EEDP_MEDP feature vector
FPSSMD-FPSSM and SF-PSSM feature vectors
FPSSM2Mixture of Two FPSSM Features
grey_pssm_pseAACgrey pssm feature vector
kiderafactorkiderafactor feature
k_mers3-mer and 2-mer in dataframe
k_seperated_bigramek_seperated_bigrame feature vector
LPC_PSSMLinear predictive coding feature
MBMGACPSSMMBMGACPSSM feature
pse_pssmpseudo position-specific scoring matrix feature
pssm400PSSM400 feature
pssm_acauto covariance transformation feature vector
PSSMACPSSMAC feature
PSSMBLOCKPSSM BLOCK feature vector
pssm_ccCross covarianse feature vector
PSSMCOOL-packagePSSMCOOL:Extracting Various Feature vectors from PSSM Matrix
PSSM_SDPSSM-SD feature
pssm_segPSSM-Seg feature vector
rpssmRPSSM feature
scsh2SCSH Feature vector
single_Averagesingle Average feature
smoothed_PSSMsmoothed PSSM feature
SOMA_PSSMSOMA PSSM Feature
SVD_PSSMSingular Value Decomposition (SVD)
three_mer3-Mer and 2-Mer
trigrame_pssmtrigrame feature vector
PSSMCOOL documentation built on Oct. 25, 2020, 5:07 p.m.