Marina Wright Muelas

MassGenie: a transformer-based deep learning method for identifying small molecules from their mass spectra

MassGenie uses a transformer-based deep learning model to predict small molecule structures from mass spectra, achieving accurate results without explicit fragmentation rules.

The role and robustness of the Gini coefficient as an unbiased tool for the selection of Gini genes for normalising expression profiling data

The paper introduces the Gini coefficient as a method to select stable reference genes for normalizing expression data, showing it outperforms traditional methods across multiple datasets.

Novel ‘housekeeping’ genes and an unusually heterogeneous distribution of transporter expression profiles in human tissues and cell lines, assessed using the Gini coefficient

The paper uses the Gini coefficient to analyze transporter gene expression heterogeneity in human tissues and cell lines, identifying novel housekeeping genes and highlighting specialisation trends.