Navigating the data processing for cytometry-based single-cell proteomics
6.0
来源：
Nature
关键字：
computational biology
发布时间：
2025-10-16 19:36
摘要：
ANPELA is a newly developed tool for navigating data processing in cytometry-based single-cell proteomics. It allows for the evaluation of various workflows to identify optimal methods for cell subpopulation analysis and pseudo-time trajectory inference. Developed by a team from Zhejiang University, ANPELA is user-friendly and accessible to non-coders, enhancing the efficiency of proteomic data processing.
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domain_focus
1.0
business_impact
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scientific_rigor
1.5
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关键证据
ANPELA enables a comparison among the performances of thousands of processing workflows.
It is intended to facilitate the automatic selection of the most appropriate processing methods for single-cell proteomic data.
The tool is freely accessible and designed for a broad audience, including those without coding skills.
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AI评分总结
ANPELA is a newly developed tool for navigating data processing in cytometry-based single-cell proteomics. It allows for the evaluation of various workflows to identify optimal methods for cell subpopulation analysis and pseudo-time trajectory inference. Developed by a team from Zhejiang University, ANPELA is user-friendly and accessible to non-coders, enhancing the efficiency of proteomic data processing.