Pages that link to "Item:Q1715087"
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The following pages link to 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):
Displaying 27 items.
- Classification of membrane protein types using voting feature interval in combination with Chou's pseudo amino acid composition (Q739723) (← links)
- Geometry preserving projections algorithm for predicting membrane protein types (Q1628998) (← links)
- IMem-2LSAAC: a two-level model for discrimination of membrane proteins and their types by extending the notion of SAAC into Chou's pseudo amino acid composition (Q1649407) (← links)
- Classify vertebrate hemoglobin proteins by incorporating the evolutionary information into the general PseAAC with the hybrid approach (Q1664426) (← links)
- Predicting membrane protein types by fusing composite protein sequence features into pseudo amino acid composition (Q1670554) (← links)
- Predicting membrane protein types by incorporating a novel feature set into Chou's general PseAAC (Q1714327) (← links)
- Predicting protein subchloroplast locations with both single and multiple sites via three different modes of Chou's pseudo amino acid compositions (Q1790746) (← links)
- Alignment free comparison: \(k\) word voting model and its applications (Q1790755) (← 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)
- The modified Mahalanobis discriminant for predicting outer membrane proteins by using Chou's pseudo amino acid composition (Q1794478) (← links)
- Predicting membrane protein type by functional domain composition and pseudo-amino acid composition (Q2194927) (← links)
- Using stacked generalization to predict membrane protein types based on pseudo-amino acid composition (Q2201981) (← links)
- Fuzzy KNN for predicting membrane protein types from pseudo-amino acid composition (Q2202064) (← links)
- Prediction of membrane protein types from sequences and position-specific scoring matrices (Q2219704) (← links)
- MemHyb: predicting membrane protein types by hybridizing SAAC and PSSM (Q2263483) (← links)
- Prediction of \(\beta\)-lactamase and its class by Chou's pseudo-amino acid composition and support vector machine (Q2351316) (← links)
- Application of density similarities to predict membrane protein types based on pseudo-amino acid composition (Q2413825) (← links)
- Transmission of intra-cellular genetic information: a system proposal (Q2415671) (← links)
- ConPred\_elite: a highly reliable approach to transmembrane topology prediction (Q2490611) (← links)
- Efficacy of function specific 3D-motifs in enzyme classification according to their EC-numbers (Q2632131) (← links)
- Linear regression model of short \(k\)-word: a similarity distance suitable for biological sequences with various lengths (Q2632180) (← links)
- iCDI-PseFpt: identify the channel-drug interaction in cellular networking with PseAAC and molecular fingerprints (Q2632182) (← links)
- Protein subcellular localization in human and hamster cell lines: employing local ternary patterns of fluorescence microscopy images (Q2632347) (← links)
- Predicting anticancer peptides with Chou's pseudo amino acid composition and investigating their mutagenicity via ames test (Q2632389) (← 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)
- 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)
- Prediction of posttranslational modification sites from amino acid sequences with kernel methods (Q2632579) (← links)
