pseudoQC: A Regression-Based Simulation Software for Correction and Normalization of Complex Metabolomics and Proteomics Datasets
If you use this software to analyze your data, please cite our paper like this:
Wang, Shisheng, and Hao Yang. "pseudoQC: A Regression‐Based Simulation Software for Correction and Normalization of Complex Metabolomics and Proteomics Datasets." Proteomics (2019): 1900264. (DOI: 10.1002/pmic.201900264).
pseudoQC is a powerful and interactive web-based software to simulate QC sample data for actual metabolomics and proteomics datasets using four different machine learning–based regression methods. It is developed with R and the software can also be found here: https://www.omicsolution.org/wukong/pseudoQC/. Open this link and then you can start your own analysis:
The detailed operation about pseudoQC can be found in pseudoQC.Supplementary.pdf file.
You could push an issue on this github. And optionally, please feel free to sent me an e-mail if you have any question or find a bug about this tool. Thank you^_^ Email: [email protected]