Pages that link to "Item:Q850129"
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The following pages link to Sequence-driven features for prediction of subcellular localization of proteins (Q850129):
Displaying 18 items.
- CE-PLoc: An ensemble classifier for predicting protein subcellular locations by fusing different modes of pseudo amino acid composition (Q647294) (← links)
- Prediction of protein subcellular location using hydrophobic patterns of amino acid sequence (Q883825) (← links)
- Applying sequential rules to protein localization prediction (Q929148) (← links)
- Subsequence-based feature map for protein function classification (Q936077) (← links)
- Protein subcellular location prediction using optimally weighted fuzzy \(k\)-NN algorithm (Q1004966) (← links)
- Robust numerical features for description and classification of subcellular location patterns in fluorescence microscope images (Q1430043) (← links)
- Identification of protein subcellular localization via integrating evolutionary and physicochemical information into Chou's general PseAAC (Q1717296) (← links)
- Prediction of protein subcellular localization with oversampling approach and Chou's general PseAAC (Q1752399) (← links)
- Prediction of protein submitochondria locations based on data fusion of various features of sequences (Q2261649) (← links)
- GOASVM: a subcellular location predictor by incorporating term-frequency gene ontology into the general form of Chou's pseudo-amino acid composition (Q2349712) (← links)
- Comparison among feature extraction methods for HIV-1 protease cleavage site prediction (Q2369601) (← links)
- Gram-positive and Gram-negative protein subcellular localization by incorporating evolutionary-based descriptors into Chou's general PseAAC (Q2413930) (← links)
- Human proteins characterization with subcellular localizations (Q2415647) (← links)
- Using nearest feature line and tunable nearest neighbor methods for prediction of protein subcellular locations (Q2490503) (← links)
- Protein subcellular localization in human and hamster cell lines: employing local ternary patterns of fluorescence microscopy images (Q2632347) (← links)
- Robust feature generation for protein subchloroplast location prediction with a weighted GO transfer model (Q2632613) (← links)
- Using protein granularity to extract the protein sequence features (Q2635021) (← links)
- Computational Science – ICCS 2005 (Q5709410) (← links)
