PRINCESS

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图片显示不正确 visits:7 图片显示不正确 图片显示不正确PRINCESS

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High-throughput screens inevitably generate a significant number of false positives, which result in erroneous data and thus misleading our conclusions. Strategies should be taken to assess the confidence of high-throughput data and minimize the high degree "false-positive". Here we introduce the Bayesian method to evaluate the potential biological relevance of the identified interactions.

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This page is the analysis interface for PRINCESS, (A PRotein INteraction Confidence Evaluation System with multple Sources). You may submit a list of protein interactions and then will be presented the results when processing is complete. Please see the document page for further information.

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Beijing Proteome Research Center(BPRC) (北京蛋白质组研究中心)

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Dong Li(李栋),Fuchu He (贺福初)

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[{"id":"1","name":"CNHPP int'l project 3:2014DFB30020(中国人类蛋白质组学数据的知识发现)"}]