StatsPro: A Statistical Tool for Detecting Differential Expression in Label-Free Quantitative Proteomics
StatsPro is a comprehensive tool designed to help scientists detect differentially expressed proteins in label-free quantitative proteomics experiments.
The tool integrates 12 common statistical methods and 6 P-value combination strategies, allowing users to systematically evaluate the performance of these methods.
By offering three evaluation criteria, StatsPro provides a detailed and reliable approach for assessing statistical techniques in proteomics data analysis.
This systematic view helps researchers make informed decisions about which statistical methods to use for their specific data. The tool is versatile and user-friendly, designed to facilitate easy data analysis for both novice and expert users in the field of proteomics.
StatsPro provides a convenient and structured solution for addressing the challenges of differential expression analysis in quantitative proteomics.
Key Features:
- Integration of 12 statistical methods and 6 P-value combination strategies.
- Three evaluation criteria to assess the effectiveness of the methods.
- Freely accessible online version available on the Omicsolution platform or Omicsolution.org.
- Option for local installation if the server is temporarily down.
Applications:
StatsPro is particularly useful for proteomics researchers aiming to:
- Identify differentially expressed proteins.
- Compare the efficiency and accuracy of different statistical approaches.
- Simplify and enhance their workflow by utilizing a centralized tool for evaluating statistical methods.
Citation
Yang Y, Cheng J, Wang S, Yang H. StatsPro: Systematic integration and evaluation of statistical approaches for detecting differential expression in label-free quantitative proteomics. J Proteomics. 2021 Sep 30;250:104386. doi: 10.1016/j.jprot.2021.104386.License
MIT License
Resources & Downloads
YanglabWCH
