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Nov 21, 2019 · In this study, we have proposed a novel hybrid computational framework, termed SIMLIN, for accurate prediction of protein S-sulphenylation sites.
Nov 21, 2019 · In this study, we have proposed a novel hybrid computational framework, termed SIMLIN, for accurate prediction of protein S-sulphenylation sites.
Nov 22, 2019 · Conclusions: In summary, SIMLIN predicts human S-sulphenylation sites with high accuracy thereby facilitating biological hypothesis generation ...
SIMLIN: a bioinformatics tool for prediction of S-sulphenylation in the human proteome based on multi-stage ensemble-learning models. Xiaochuan Wang, Chen Li ...
SIMLIN: a bioinformatics tool for prediction of S-sulphenylation in the human proteome based on multi-stage ensemble-learning models. Xiaochuan Wang, Chen Li ...
From: SIMLIN: a bioinformatics tool for prediction of S-sulphenylation in the human proteome based on multi-stage ensemble-learning models. Feature type.
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Description : a bioinformatics tool for prediction of S-sulphenylation in the human proteome based on multi-stage ensemble-learning models. SIMLIN: an ...
2019, SIMLIN: a bioinformatics tool for prediction of S-sulphenylation in the human proteome based on multi-stage ensemble-learning models ; 2022, PreAcrs: a ...
SIMLIN: a bioinformatics tool for prediction of S-sulphenylation in the human proteome based on multi-stage ensemble-learning models · Wang, X.; Li, C.; Li, F ...