Michał Piotr Startek

DiscrimAlign learns substitution matrices and gap penalties for sequence alignment to predict microRNA-target interactions, achieving performance comparable to neural networks while being more interpretable.

The paper introduces midiaPASEF, a DIA scan mode that enhances information content in proteomics, enabling precise precursor m/z determination and efficient automated processing.

The paper introduces a linear deconvolution method using optimal transport to improve accuracy in mass spectrometry by reducing sensitivity to measurement inaccuracies.