
Justin Miller-Schulze and Smith Purdum explain how machine learning and chemometrics can improve fire debris classification in forensic science applications.
The effect of column selectivity and its importance in the quality of data achieved in protein and peptide identifications in bottom-up proteomics applications is demonstrated.






