Access online services of chemical identifiers from Python
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Updated
Aug 4, 2026 - HTML
Access online services of chemical identifiers from Python
ssCCA: single-sample chemical class analysis for cross-dataset LC-MS metabolomics integration (analysis code for the accompanying report).
Integrate metabolomics datasets that do not share the same measured metabolites, by grouping metabolites into shared chemical classes (through the ChEBI ontology, RefMet, or ClassyFire) and scoring each class per sample.
Add a description, image, and links to the classyfire topic page so that developers can more easily learn about it.
To associate your repository with the classyfire topic, visit your repo's landing page and select "manage topics."