Pages that link to "Item:Q739676"

The following pages link to Prediction of protein structure classes by incorporating different protein descriptors into general Chou's pseudo amino acid composition (Q739676):

Displaying 27 items.

• Machine learning approaches for discrimination of extracellular matrix proteins using hybrid feature space (Q738768) (← 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)
• A protein fold classifier formed by fusing different modes of pseudo amino acid composition via PSSM (Q1631282) (← links)
• Classify vertebrate hemoglobin proteins by incorporating the evolutionary information into the general PseAAC with the hybrid approach (Q1664426) (← links)
• Precision assessment of some supervised and unsupervised algorithms for genotype discrimination in the genus \textit{pisum} using SSR molecular data (Q1664568) (← links)
• pLoc\_bal-mGneg: predict subcellular localization of Gram-negative bacterial proteins by quasi-balancing training dataset and general PseAAC (Q1712835) (← links)
• Analysis and prediction of ion channel inhibitors by using feature selection and Chou's general pseudo amino acid composition (Q1714359) (← 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)
• iPPI-PseAAC(CGR): identify protein-protein interactions by incorporating chaos game representation into PseAAC (Q1716822) (← links)
• High performance set of PseAAC and sequence based descriptors for protein classification (Q1722782) (← links)
• SPrenylC-PseAAC: a sequence-based model developed via Chou's 5-steps rule and general PseAAC for identifying S-prenylation sites in proteins (Q1734238) (← links)
• Prediction protein structural classes with pseudo-amino acid composition: approximate entropy and hydrophobicity pattern (Q1788146) (← links)
• Discriminating bioluminescent proteins by incorporating average chemical shift and evolutionary information into the general form of Chou's pseudo amino acid composition (Q1790807) (← links)
• Predicting protein structural classes with pseudo amino acid composition: an approach using geometric moments of cellular automaton image (Q1797606) (← links)
• Alpha influenza virus infiltration prediction using virus-human protein-protein interaction network (Q2038703) (← links)
• Predicting enzyme family classes by hybridizing gene product composition and pseudo-amino acid composition (Q2193120) (← links)
• Using pseudo-amino acid composition and support vector machine to predict protein structural class (Q2202397) (← links)
• Using Chou's amphiphilic pseudo-amino acid composition and support vector machine for prediction of enzyme subfamily classes (Q2211634) (← links)
• Discrimination of acidic and alkaline enzyme using Chou's pseudo amino acid composition in conjunction with probabilistic neural network model (Q2351334) (← links)
• A set of descriptors for identifying the protein-drug interaction in cellular networking (Q2415703) (← links)
• Novel 3D bio-macromolecular bilinear descriptors for protein science: predicting protein structural classes (Q2630314) (← 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)
• Prediction of protein structure classes using hybrid space of multi-profile Bayes and bi-gram probability feature spaces (Q2632581) (← links)
• A composite approach to protein tertiary structure prediction: hidden Markov model based on lattice (Q2633580) (← links)
• (Q5157508) (← links)
• Rough Sets and Current Trends in Computing (Q5394778) (← links)