1. zMAP toolset: model-based analysis of large-scale proteomic data via a variance stabilizing z-transformation
- Author
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Xiuqi Gui, Jing Huang, Linjie Ruan, Yanjun Wu, Xuan Guo, Ruifang Cao, Shuhan Zhou, Fengxiang Tan, Hongwen Zhu, Mushan Li, Guoqing Zhang, Hu Zhou, Lixing Zhan, Xin Liu, Shiqi Tu, and Zhen Shao
- Subjects
Biology (General) ,QH301-705.5 ,Genetics ,QH426-470 - Abstract
Abstract Isobaric labeling-based mass spectrometry (ILMS) has been widely used to quantify, on a proteome-wide scale, the relative protein abundance in different biological conditions. However, large-scale ILMS data sets typically involve multiple runs of mass spectrometry, bringing great computational difficulty to the integration of ILMS samples. We present zMAP, a toolset that makes ILMS intensities comparable across mass spectrometry runs by modeling the associated mean-variance dependence and accordingly applying a variance stabilizing z-transformation. The practical utility of zMAP is demonstrated in several case studies involving the dynamics of cell differentiation and the heterogeneity across cancer patients.
- Published
- 2024
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