Pages that link to "Item:Q2202397"

The following pages link to Using pseudo-amino acid composition and support vector machine to predict protein structural class (Q2202397):

Displaying 30 items.

• Prediction of protein structure classes by incorporating different protein descriptors into general Chou's pseudo amino acid composition (Q739676) (← links)
• Use of fuzzy clustering technique and matrices to classify amino acids and its impact to Chou's pseudo amino acid composition (Q1617497) (← links)
• Prediction of protein structural classes by recurrence quantification analysis based on chaos game representation (Q1617743) (← links)
• Protein functional class prediction using global encoding of amino acid sequence (Q1628865) (← links)
• A novel feature representation method based on Chou's pseudo amino acid composition for protein structural class prediction (Q1631276) (← links)
• Some remarks on protein attribute prediction and pseudo amino acid composition (Q1670702) (← links)
• Predicting structural classes of proteins by incorporating their global and local physicochemical and conformational properties into general Chou's PseAAC (Q1714173) (← links)
• Predicting membrane protein types by incorporating protein topology, domains, signal peptides, and physicochemical properties into the general form of Chou's pseudo amino acid composition (Q1715087) (← links)
• Using the concept of Chou's pseudo amino acid composition for risk type prediction of human papillomaviruses (Q1715312) (← links)
• A study of entropy/clarity of genetic sequences using metric spaces and fuzzy sets (Q1732933) (← links)
• Prediction of GABA\(_{\mathrm A}\) receptor proteins using the concept of Chou's pseudo-amino acid composition and support vector machine (Q1783532) (← links)
• Prediction protein structural classes with pseudo-amino acid composition: approximate entropy and hydrophobicity pattern (Q1788146) (← links)
• The modified Mahalanobis discriminant for predicting outer membrane proteins by using Chou's pseudo amino acid composition (Q1794478) (← links)
• Predicting protein structural class based on multi-features fusion (Q1795105) (← links)
• Predicting protein structural classes with pseudo amino acid composition: an approach using geometric moments of cellular automaton image (Q1797606) (← links)
• Support vector machines for prediction of protein domain structural class (Q2177101) (← links)
• Predicting enzyme family classes by hybridizing gene product composition and pseudo-amino acid composition (Q2193120) (← links)
• Using LogitBoost classifier to predict protein structural classes (Q2194896) (← links)
• Pseudo amino acid composition and multi-class support vector machines approach for conotoxin superfamily classification (Q2202366) (← links)
• Novel scales based on hydrophobicity indices for secondary protein structure (Q2211604) (← links)
• Using Chou's amphiphilic pseudo-amino acid composition and support vector machine for prediction of enzyme subfamily classes (Q2211634) (← links)
• \(\gamma\)-Turn types prediction in proteins using the support vector machines (Q2216382) (← links)
• Prediction of \(\beta\)-lactamase and its class by Chou's pseudo-amino acid composition and support vector machine (Q2351316) (← links)
• Chou's pseudo amino acid composition improves sequence-based antifreeze protein prediction (Q2415547) (← links)
• Novel 3D bio-macromolecular bilinear descriptors for protein science: predicting protein structural classes (Q2630314) (← links)
• Improving the prediction accuracy of protein structural class: approached with alternating word frequency and normalized Lempel-Ziv complexity (Q2632396) (← links)
• Accurate prediction of protein structural classes by incorporating predicted secondary structure information into the general form of Chou's pseudo amino acid composition (Q2632567) (← links)
• A protein structural classes prediction method based on PSI-BLAST profile (Q2632866) (← links)
• Using protein granularity to extract the protein sequence features (Q2635021) (← links)
• (Q3498201) (← links)