PolyAlign: A Versatile LC-MS Data Alignment Tool for Landmark-Selected and -Automated Use

Table 2

Root mean square errors of landmarks before and after aligning the technical replicates (data set 1). Warping polynomials of degree 𝑘=1,2,3 were applied for correcting distortion. Results for the best polynomial degrees are shown. Map 2 has been used as the reference map and the other maps were aligned to it, as indicated as target 1–4.

Target	Degree k	RMS error		Change	Change%
		Before	After
1	3	54.61	6.90	−47.71	−87.4
3	2	42.15	6.65	−35.50	−84.2
4	3	30.31	13.61	−16.70	−55.1