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Performance evaluation measures for protein complex prediction
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DOI：10.1016/j.ygeno.2018.10.003.png)
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摘要
En 中文
Protein complexes play a dominant role in cellular organization and function. Prediction of protein complexes from the network of physical interactions between proteins (PPI networks) has thus become one of the important research areas. Recently, many computational approaches have been developed to identify these complexes. Various performance assessment measures have been proposed for evaluating the efficiency of these methods. However, there are many inconsistencies in the definitions and usage of the measures across the literature. To address this issue, we have gathered and presented the most important performance evaluation measures and developed a tool, named CompEvaluator, to critically assess the protein complex prediction methods. The tool and documentation are publicly available at https://sourceforge.net/projects/compevaluator/files/.
Keyword:
INTERACTION NETWORKS
FUNCTIONAL MODULES
CORE
IDENTIFICATION
ORGANIZATION
INTERACTOME
INTEGRATION
DISCOVERY
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分享收藏分享收藏Methods for protein complex prediction and their contributions towards understanding the organisation, function and dynamics of complexes蛋白质复合物预测方法及其对理解复合物的组织，功能和动力学的贡献.png)
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