Correlation Map, a goodness-of-fit test for one-dimensional X-ray scattering spectra

Nat Methods. 2015 May;12(5):419-22. doi: 10.1038/nmeth.3358. Epub 2015 Apr 6.


Assessing similarity between data sets with the reduced χ(2) test requires the estimation of experimental errors, which, if incorrect, may render statistical comparisons invalid. We report a goodness-of-fit test, Correlation Map (CorMap), for assessing differences between one-dimensional spectra independently of explicit error estimates, using only data point correlations. Using small-angle X-ray scattering data, we demonstrate that CorMap maintains the power of the reduced χ(2) test; moreover, CorMap is also applicable to other physical experiments.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aldose-Ketose Isomerases / chemistry
  • Aldose-Ketose Isomerases / metabolism
  • Animals
  • Data Interpretation, Statistical*
  • Egg White / chemistry
  • Humans
  • Models, Statistical*
  • Muramidase / chemistry
  • Reproducibility of Results
  • Ribonuclease, Pancreatic / chemistry
  • Ribonuclease, Pancreatic / metabolism
  • Serum Albumin / chemistry
  • X-Ray Diffraction*


  • Serum Albumin
  • Ribonuclease, Pancreatic
  • Muramidase
  • Aldose-Ketose Isomerases
  • xylose isomerase