Pages that link to "Item:Q2632579"
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The following pages link to Prediction of posttranslational modification sites from amino acid sequences with kernel methods (Q2632579):
Displaying 10 items.
- Phogly-PseAAC: prediction of lysine phosphoglycerylation in proteins incorporating with position-specific propensity (Q738204) (← links)
- iLM-2L: a two-level predictor for identifying protein lysine methylation sites and their methylation degrees by incorporating K-gap amino acid pairs into Chou's general PseAAC (Q739749) (← links)
- PSSM-Suc: accurately predicting succinylation using position specific scoring matrix into bigram for feature extraction (Q1701598) (← links)
- Lysine acetylation sites prediction using an ensemble of support vector machine classifiers (Q1715455) (← links)
- Fu-SulfPred: identification of protein S-sulfenylation sites by fusing forests via Chou's general PseAAC (Q1716873) (← links)
- UPFPSR: a ubiquitylation predictor for plant through combining sequence information and random forest (Q2130126) (← links)
- Reduced bio basis function neural network for identification of protein phosphorylation sites: comparison with pattern recognition algorithms (Q2490617) (← links)
- Predicting \(O\)-glycosylation sites in mammalian proteins by using SVMs (Q2500380) (← links)
- Accurate in silico identification of protein succinylation sites using an iterative semi-supervised learning technique (Q2630310) (← links)
- Prediction of pupylation sites using the composition of \(k\)-spaced amino acid pairs (Q2632126) (← links)
