Emily Hashimoto-Roth

The paper introduces iDMS, a neural network that predicts optimal separation and compensation voltages for DMS, improving glycosphingolipid analysis.

The paper introduces iDMS, a deep neural network that predicts optimal ion mobility parameters for resolving monoglycosphingolipid stereoisomers, improving the efficiency of DMS-based assays.

ImpLiMet is a platform that helps users select the best missing data imputation method by testing eight approaches and evaluating their impact through statistical and visualization tools.

META-BOA provides a web tool to balance metabolomics data using over-sampling algorithms and evaluates their impact through visualization and classification.

The paper identifies human biological processes and protein sequence motifs potentially targeted by SARS-CoV-2 using PPI networks and computational methods.