PredRSA: a gradient boosted regression trees approach for predicting protein solvent accessibility

被引：0
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作者：
Chao Fan
Diwei Liu
Rui Huang
Zhigang Chen
Lei Deng
机构：
[1] Central South University,School of Software
[2] Shanghai Key Laboratory of Intelligent Information Processing,undefined
来源：
BMC Bioinformatics | / 17卷
关键词：
Solvent accessibility; Sequence features; Gradient boosted regression trees;
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