LC−MS-based Untargeted Metabolomics Data into Images towards AI-based Clinical Diagnosis
MetImage is a python based approach to convert LC–MS-based untargeted metabolomics data into digital images. MetImage encoded the raw LC–MS data into multi-channel images, and each image retained the characteristics of mass spectra from the raw LC–MS data. MetImage can build diagnose model by multi-channel images with deep learning model.
- Python (version~=3.8)
- Pip (version~=22.0.3)
- Poetry (version>=1.0.0)
You can install MetImage from Github.
$ git clone https://github.com/ZhuMetLab/metimage.gitFor detailed usage, please refer to manual of MetImage.
This free open-source software implements academic research by the authors and co-workers. If you use it, please support the project by citing the appropriate journal articles.
Hongmiao Wang, Yandong Yin, and Zheng-Jiang Zhu*, Encoding LC−MS-based Untargeted Metabolomics Data into Images toward AI-Based Clinical Diagnosis, Analytical Chemistry, 2023.
