What's it?
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.
How to use it?
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.
Institute
Beijing Proteome Research Center(BPRC) (北京蛋白质组研究中心)
Author
Dong Li(李栋),Fuchu He (贺福初)
Support
Figure
Funding source
[{"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)"}]