1H NMR based metabolic profiling in Crohn's disease by random forest methodology
Fariba Fathi, Laleh Majari-Kasmaee, Ahmad Mani-Varnosfaderani, Anahita Kyani, Mohammad Rostami-Nejad, Kaveh Sohrabzadeh, Nosratollah Naderi, Mohammad Reza Zali, Mostafa Rezaei-Tavirani, Mohsen Tafazzoli and Afsaneh Arefi-Oskouie
Article first published online: 22 APR 2014 | DOI: 10.1002/mrc.4074
The metabolites that caused changes in people with crohn's disease were identified using random forest and the obtained classification model showed 94% correct classification of crohn's disease and healthy subject for the external test set. As an innovative approach, a model was made for correlation between these metabolites and serum levels of zinc. The regression model of levels of zinc and metabolites resulted correlation (R2) value of 0.83 for the external test set.