[HTML][HTML] In silico instrumental response correction improves precision of label-free proteomics and accuracy of proteomics-based predictive models
Y Lyutvinskiy, H Yang, D Rutishauser… - Molecular & Cellular …, 2013 - ASBMB
In the analysis of proteome changes arising during the early stages of a biological process
(eg disease or drug treatment) or from the indirect influence of an important factor, the
biological variations of interest are often small (∼ 10%). The corresponding requirements for
the precision of proteomics analysis are high, and this often poses a challenge, especially
when employing label-free quantification. One of the main contributors to the inaccuracy of
label-free proteomics experiments is the variability of the instrumental response during LC …
(eg disease or drug treatment) or from the indirect influence of an important factor, the
biological variations of interest are often small (∼ 10%). The corresponding requirements for
the precision of proteomics analysis are high, and this often poses a challenge, especially
when employing label-free quantification. One of the main contributors to the inaccuracy of
label-free proteomics experiments is the variability of the instrumental response during LC …