An Integrative Computational Framework Based on a Two-Step Random Forest Algorithm Improves Prediction of Zinc-Binding Sites in Proteins
出版年份 2012 全文链接
标题
An Integrative Computational Framework Based on a Two-Step Random Forest Algorithm Improves Prediction of Zinc-Binding Sites in Proteins
作者
关键词
Zinc, Protein structure prediction, Protein structure, Protein structure networks, Sequence motif analysis, Protein structure databases, Machine learning, Transcription factors
出版物
PLoS One
Volume 7, Issue 11, Pages e49716
出版商
Public Library of Science (PLoS)
发表日期
2012-11-15
DOI
10.1371/journal.pone.0049716
参考文献
相关参考文献
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