Siyang Tian

BioTransformer4.0 predicts small molecule metabolites using integrated knowledge-based and machine learning approaches, achieving high recall on benchmark datasets.

The paper proposes identification probability as an automated and transferable method to assess metabolite identification confidence in metabolomics.

This paper introduces DeepMet, a chemical language model that predicts and discovers unknown metabolites using mass spectrometry data.