Pages that link to "Item:Q2201981"
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The following pages link to Using stacked generalization to predict membrane protein types based on pseudo-amino acid composition (Q2201981):
Displaying 17 items.
- Classification of membrane protein types using voting feature interval in combination with Chou's pseudo amino acid composition (Q739723) (← links)
- Physics and chemistry-driven artificial neural network for predicting bioactivity of peptides and proteins and their design (Q1617368) (← links)
- Use of fuzzy clustering technique and matrices to classify amino acids and its impact to Chou's pseudo amino acid composition (Q1617497) (← links)
- Predicting membrane protein types by fusing composite protein sequence features into pseudo amino acid composition (Q1670554) (← links)
- Some remarks on protein attribute prediction and pseudo amino acid composition (Q1670702) (← links)
- Predicting membrane protein types by incorporating a novel feature set into Chou's general PseAAC (Q1714327) (← 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 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)
- 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)
- MemHyb: predicting membrane protein types by hybridizing SAAC and PSSM (Q2263483) (← links)
- Constructing a linear QSAR for some metabolizable drugs by human or pig flavin-containing monooxygenases using some molecular features selected by a genetic algorithm trained SVM (Q2415560) (← links)
- A two-stage SVM method to predict membrane protein types by incorporating amino acid classifications and physicochemical properties into a general form of Chou's PseAAC (Q2632571) (← links)