Prediction of Protein-Protein Interaction via co-occurring Aligned Pattern Clusters
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- 作者：Antonio Sze-To ; hy2szeto@uwaterloo.ca" class="auth_mail" title="E-mail the corresponding author ; Sanderz Fung s3fung@uwaterloo.ca" class="auth_mail" title="E-mail the corresponding author ; En-Shiun Annie Lee annie.lee@uwaterloo.ca" class="auth_mail" title="E-mail the corresponding author ; Andrew K.C. Wong akcwong@uwaterloo.ca" class="auth_mail" title="E-mail the corresponding author
- 关键词：Protein&ndash ; Protein Interaction ; Co-occurring Aligned Pattern Cluster ; Supervised learning ; Random Forest
- 刊名：Methods
- 出版年：2016
- 出版时间：1 November 2016
- 年：2016
- 卷：110
- 期：Complete
- 页码：26-34
- 全文大小：543 K
文摘
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APCs were introduced to model sequence patterns with variable length and variants.
cAPC pairs were developed to model the co-occurring sequence patterns in PPI.
A method was proposed to turn a protein pair into a feature vector using cAPC pairs.
WeMine-PPI, a new PPI prediction method with outperforming results, was proposed.
WeMine-PPI allows biologically intuitive understanding of the feature vector.