Machine Learning in Mass Spectrometric Analysis of DIA Data

Liquid Chromatography coupled to Tandem Mass Spectrometry (LC‐MS/MS) based methods are currently the top choice for high‐throughput, quantitative measurements of the proteome. While traditional proteomics LC‐MS/MS methods can suffer from issues such as low reproducibility and quantitative accuracy due to its stochastic nature, recent improvements in acquisition protocols have resulted in methods that can overcome these challenges....