
Justin Miller-Schulze and Smith Purdum explain how machine learning and chemometrics can improve fire debris classification in forensic science applications.
Here we investigate the optimal isolation width for the ID and quantification of proteins and peptides for the best possible accuracy and precision in LFQ experiments.






