Man pages for PSSMCOOL
Features Extracted from Position Specific Scoring Matrix (PSSM)
| aac_pssm | AAC-PSSM feature vectors |
| aadp_pssm | DPC-PSSM,AAC-PSSM and AADP-PSSM feature vectors |
| AATP_TPC | AATP_TPC feature vector |
| AB_PSSM | AB-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 feature vector |
| DP_PSSM | DP_PSSM feature vector |
| dwt_PSSM | discrete wavelet transform feature vector |
| EDP_EEDP_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_separated_bigrams_pssm | k_separated_bigrams_pssm feature vector |
| LPC_PSSM | Linear predictive coding feature |
| MBMGACPSSM | MBMGACPSSM feature |
| pse_pssm | pseudo position-specific scoring matrix feature |
| pssm400 | PSSM400 feature |
| pssm_ac | auto covariance transformation feature vector |
| PSSMBLOCK | PSSM BLOCK feature vector |
| pssm_cc | Cross covarianse feature vector |
| pssm_composition | PSSM-COMPOSITION feature |
| PSSMCOOL-package | PSSMCOOL:Extracting Various Feature vectors from PSSM Matrix |
| PSSM_SD | PSSM-SD feature |
| pssm_seg | PSSM-Seg feature vector |
| RPM_PSSM | RPM-PSSM 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 |
