@InCollection{malik15multivariate,
  author    = {Malik, Amrita and de Juan, Anna and Tauler, Roma},
  title     = {Multivariate Curve Resolution: A Different Way To Examine Chemical Data},
  booktitle = {ACS Symposium Series},
  publisher = {American Chemical Society},
  year      = {2015},
  volume    = {1199},
  pages     = {95-128--},
  abstract  = {During the last 40 years, Multivariate Curve Resolution (MCR) has emerged as a powerful tool to investigate (bio) chemical data sets. MCR has evolved from the analysis of a single data set to multiset and multiway data analysis. MCR has been extended to the investigation of new application domains and of more challenging problems. MCR is achieving a mature state and it includes different ways to ascertain and validate the reliability of its solutions
During the last 40 years, Multivariate Curve Resolution (MCR) has emerged as a powerful tool to investigate (bio) chemical data sets. MCR has evolved from the analysis of a single data set to multiset and multiway data analysis. MCR has been extended to the investigation of new application domains and of more challenging problems. MCR is achieving a mature state and it includes different ways to ascertain and validate the reliability of its solutions},
  comment   = {doi:10.1021/bk-2015-1199.ch005},
  doi       = {10.1021/bk-2015-1199.ch005},
  issn      = {0-8412-3098-6},
  optmonth  = jan,
  owner     = {Purva},
  timestamp = {2016-11-21},
  url       = {http://dx.doi.org/10.1021/bk-2015-1199.ch005},
}

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