BAGO is a Python package for Bayesian Optimization of Liquid Chromatographic Elution Gradient.
BAGO enables:
Highly efficient gradient optimization Find an optimal gradient for your LC-MS/MS analysis within 10 runs. Wonder why BAGO is efficient? Read more about acquisition functions.
Omics-scale evaluation on compound separation Separation efficiency was defined to evaluate the performance of a gradient. Wonder how omics-scale evaluation is achieved? Read more about encodings.
Broader discovery of chemical space Expand your discovery of chemical space by improving identification and quantification. Wonder how BAGO can help you? Read more about applications.
FAQs
LC gradient optimization and evaluation
We found that bago demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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