Pages that link to "Item:Q1620818"
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The following pages link to Predicting DNA- and RNA-binding proteins from sequences with kernel methods (Q1620818):
Displaying 11 items.
- Annotating the protein-RNA interaction sites in proteins using evolutionary information and protein backbone structure (Q293785) (← links)
- Comprehensive comparative analysis and identification of RNA-binding protein domains: multi-class classification and feature selection (Q293789) (← links)
- Predicting the disulfide bonding state of cysteines with combinations of kernel machines (Q1430038) (← links)
- Some remarks on protein attribute prediction and pseudo amino acid composition (Q1670702) (← links)
- Effective DNA binding protein prediction by using key features via Chou's general PseAAC (Q1716796) (← links)
- Predicting rRNA-, RNA-, and DNA-binding proteins from primary structure with support vector machines (Q2202097) (← links)
- Neural network and SVM classifiers accurately predict lipid binding proteins, irrespective of sequence homology (Q2415583) (← links)
- On using physico-chemical properties of amino acids in string kernels for protein classification via support vector machines (Q2517119) (← links)
- Predicting DNA binding proteins using support vector machine with hybrid fractal features (Q2632482) (← links)
- Prediction of posttranslational modification sites from amino acid sequences with kernel methods (Q2632579) (← links)
- Advances in Neural Networks – ISNN 2005 (Q5707388) (← links)
