Speeding up panel development for targeted proteomics using deep learning: a proof-of-concept based on a prostate cancer study

Various studies in the last years have shown that using SRM/MRM has the potential to identify hundreds of biomarker candidates in one study (Mermelekas, 2015). However, panel development remains asignificant bottleneck in the adoption of targeted proteomics.