Jan 11, 2016 · We propose PredRSA, a computational method that can accurately predict relative solvent accessible surface area (RSA) of residues by exploring various local ...
Our experimental results show that the Gradient Boosted Regression Trees algorithm and the novel feature combination are quite effective in ...
In this work, we propose PredRSA, a computational method that can accurately predict relative solvent accessible surface area (RSA) of residues by exploring ...
Oct 22, 2024 · PredRSA: A gradient boosted regression trees approach for predicting protein solvent accessibility. January 2016; BMC Bioinformatics 17(S1).
Protein solvent accessibility prediction is a pivotal intermediate step towards modeling protein tertiary structures directly from one-dimensional sequences ...
PredRSA is proposed, a computational method that can accurately predict relative solvent accessible surface area (RSA) of residues by exploring various ...
PredRSA: a gradient boosted regression trees approach for predicting protein solvent accessibility. https://doi.org/10.1186/s12859-015-0851-2 · Full text.
Oct 15, 2021 · This study designs a new deep multi-view feature learning framework to predict protein RSA information.
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PredRSA: A gradient boosted regression trees approach for predicting protein solvent accessibility. Article. Full-text available. Jan 2016. Chao Fan ...
PredRSA: A gradient boosted regression trees approach for predicting protein solvent accessibility. BMC Bioinform. 2016, 17, S8. [Google Scholar] [CrossRef] ...