Pages that link to "Item:Q2630310"
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The following pages link to Accurate in silico identification of protein succinylation sites using an iterative semi-supervised learning technique (Q2630310):
Displaying 6 items.
- pSuc-Lys: predict lysine succinylation sites in proteins with PseAAC and ensemble random forest approach (Q305612) (← links)
- PSSM-Suc: accurately predicting succinylation using position specific scoring matrix into bigram for feature extraction (Q1701598) (← links)
- Prediction of S-sulfenylation sites using mRMR feature selection and fuzzy support vector machine algorithm (Q1712633) (← 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)
