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Machine learning to the rescue : enabling novel proteomics workflows with data-driven bioinformatics methods
(2022) -
Uncovering new knowledge on protein post-translational modifications by large-scale reprocessing and analysis of public proteomics data
(2022) -
Benchmark and improving methods in metaproteomics informatics
(2022) -
Data mining and modelling to understand cell migration heterogeneity and plasticity
(2022) -
The difference is in the details : predicting the LC-IM-MS behaviour of metabolites and peptides
(2020)