Pages that link to "Item:Q1790746"
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The following pages link to Predicting protein subchloroplast locations with both single and multiple sites via three different modes of Chou's pseudo amino acid compositions (Q1790746):
Displaying 14 items.
- Predicting plant protein subcellular multi-localization by Chou's PseAAC formulation based multi-label homolog knowledge transfer learning (Q292748) (← links)
- CE-PLoc: An ensemble classifier for predicting protein subcellular locations by fusing different modes of pseudo amino acid composition (Q647294) (← links)
- R3P-Loc: a compact multi-label predictor using ridge regression and random projection for protein subcellular localization (Q739656) (← links)
- Using the augmented Chou's pseudo amino acid composition for predicting protein submitochondria locations based on auto covariance approach (Q1624362) (← links)
- SubChlo: predicting protein subchloroplast locations with pseudo-amino acid composition and the evidence-theoretic \(K\)-nearest neighbor (ET-KNN) algorithm (Q1628874) (← links)
- Predicting protein submitochondrial locations by incorporating the pseudo-position specific scoring matrix into the general Chou's pseudo-amino acid composition (Q1642606) (← links)
- MFSC: multi-voting based feature selection for classification of Golgi proteins by adopting the general form of Chou's PseAAC components (Q1717066) (← links)
- Identification of protein subcellular localization via integrating evolutionary and physicochemical information into Chou's general PseAAC (Q1717296) (← 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)
- \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 of protein submitochondria locations based on data fusion of various features of sequences (Q2261649) (← links)
- Predicting protein sub-Golgi locations by combining functional domain enrichment scores with pseudo-amino acid compositions (Q2419825) (← links)
- Using nearest feature line and tunable nearest neighbor methods for prediction of protein subcellular locations (Q2490503) (← links)
- Robust feature generation for protein subchloroplast location prediction with a weighted GO transfer model (Q2632613) (← links)
