Pages that link to "Item:Q2211606"

The following pages link to Prediction of apoptosis protein subcellular location using improved hybrid approach and pseudo-amino acid composition (Q2211606):

Displaying 26 items.

• Detrended cross-correlation coefficient: application to predict apoptosis protein subcellular localization (Q343065) (← links)
• Machine learning approaches for discrimination of extracellular matrix proteins using hybrid feature space (Q738768) (← links)
• Classification of membrane protein types using voting feature interval in combination with Chou's pseudo amino acid composition (Q739723) (← links)
• Alignment-free prediction of mycobacterial DNA promoters based on pseudo-folding lattice network or star-graph topological indices (Q1617379) (← links)
• Use of fuzzy clustering technique and matrices to classify amino acids and its impact to Chou's pseudo amino acid composition (Q1617497) (← links)
• Multi-target QPDR classification model for human breast and colon cancer-related proteins using star graph topological indices (Q1617551) (← links)
• Prediction of protein structural classes by recurrence quantification analysis based on chaos game representation (Q1617743) (← links)
• Predicting DNA- and RNA-binding proteins from sequences with kernel methods (Q1620818) (← links)
• A novel representation for apoptosis protein subcellular localization prediction using support vector machine (Q1624357) (← links)
• Using the augmented Chou's pseudo amino acid composition for predicting protein submitochondria locations based on auto covariance approach (Q1624362) (← links)
• Some remarks on protein attribute prediction and pseudo amino acid composition (Q1670702) (← links)
• Predicting apoptosis protein subcellular localization by integrating auto-cross correlation and PSSM into Chou's PseAAC (Q1712667) (← links)
• A study of entropy/clarity of genetic sequences using metric spaces and fuzzy sets (Q1732933) (← links)
• Prediction of protein subcellular localization with oversampling approach and Chou's general PseAAC (Q1752399) (← links)
• Predicting mycobacterial proteins subcellular locations by incorporating pseudo-average chemical shift into the general form of Chou's pseudo amino acid composition (Q1784371) (← links)
• \textbf{iLoc-Virus}: a multi-label learning classifier for identifying the subcellular localization of virus proteins with both single and multiple sites (Q1786031) (← 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)
• Natural/random protein classification models based on star network topological indices (Q1797713) (← links)
• Prediction of the subcellular location of apoptosis proteins (Q2210009) (← links)
• Human proteins characterization with subcellular localizations (Q2415647) (← links)
• Prediction of subcellular location of apoptosis proteins combining tri-Gram encoding based on PSSM and recursive feature elimination (Q2415728) (← links)
• Analysis and identification of toxin targets by topological properties in protein-protein interaction network (Q2632760) (← links)
• Wavelet transform for predicting apoptosis proteins subcellular location (Q3017376) (← links)