Robert V. Stanton

The paper introduces a normalization method for DNA-encoded library selections using antibody fragments and DNA-conjugated peptides to improve accuracy and reduce noise in data analysis.

CoSpred is a machine learning workflow that predicts complete tandem mass spectra from peptide sequences, improving spectral library matching by including non-backbone ions.

The paper introduces MOAProfiler, a deep learning encoder that improves the accuracy of drug mechanism of action classification from Cell Painting images compared to traditional and existing deep learning methods.

PFRED is a software tool for designing and analyzing antisense oligonucleotides and siRNA, offering customizable design criteria and open-source access.