Miguel Maquedano

The paper identifies 105 dual coding regions under purifying selection in both reading frames, with many linked to brain development and neural functions.

This paper develops a consensus molecular classifier for pancreatic ductal adenocarcinoma by integrating tumor and stroma features, achieving high accuracy in predicting overall survival.

The paper analyzes discrepancies in coding gene annotations across three human gene sets and finds that over 2,000 genes likely have unsettled coding status.

The paper analyzes the PeptideAtlas database to identify unannotated coding genes and aberrant translation, finding 34 novel ORFs with peptide evidence.