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Volumn 52, Issue 7, 2014, Pages 370-376

1H NMR based metabolic profiling in Crohn's disease by random forest methodology

(11) Fathi, Fariba a Majari Kasmaee, Laleh a Mani Varnosfaderani, Ahmad b Kyani, Anahita c,f Rostami Nejad, Mohammad d Sohrabzadeh, Kaveh e,g Naderi, Nosratollah d Zali, Mohammad Reza d Rezaei Tavirani, Mostafa d,h Tafazzoli, Mohsen a Arefi Oskouie, Afsaneh d

a SHARIF UNIVERSITY OF TECHNOLOGY (Iran)

b TARBIAT MODARES UNIVERSITY (Iran)

c UNIVERSITY OF TEHRAN (Iran)

d SHAHID BEHESHTI UNIVERSITY OF MEDICAL SCIENCES (Iran)

e Department of Electrical Engineer Golpayegan Payam University (Iran)

f UNIVERSITY OF MICHIGAN (United States)

g Payam Higher Education Institute (Iran)

h SHAHID BEHESHTI UNIVERSITY OF MEDICAL SCIENCES (Iran)

Author keywords

Crohn's disease; metabonomics; nuclear magnetic resonance spectroscopy; random forest; zinc

Indexed keywords

AMINO ACIDS; BIOMARKERS; BIOMOLECULES; BODY FLUIDS; CLASSIFICATION (OF INFORMATION); DISEASES; FORESTRY; MEAN SQUARE ERROR; METABOLISM; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; REGRESSION ANALYSIS; ZINC;

1H NMR; CROHN DISEASE; DISEASE DIAGNOSIS; HEALTHY SUBJECTS; INFLAMMATORY BOWEL DISEASE; METABOLIC BIOMARKERS; METABOLIC PROFILING; METABONOMICS; RANDOM FORESTS; REGRESSION MODELLING;

METABOLITES;

BIOLOGICAL MARKER; ZINC;

ALGORITHM; BIOLOGICAL MODEL; BLOOD; COMPUTER SIMULATION; CROHN DISEASE; FEMALE; GENE EXPRESSION PROFILING; HUMAN; MALE; METABOLISM; PROCEDURES; PROTON NUCLEAR MAGNETIC RESONANCE; REGRESSION ANALYSIS; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; YOUNG ADULT;

ALGORITHMS; BIOLOGICAL MARKERS; COMPUTER SIMULATION; CROHN DISEASE; DATA INTERPRETATION, STATISTICAL; FEMALE; GENE EXPRESSION PROFILING; HUMANS; MALE; MODELS, BIOLOGICAL; PROTON MAGNETIC RESONANCE SPECTROSCOPY; REGRESSION ANALYSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; YOUNG ADULT; ZINC;

EID: 84902110778 PISSN: 07491581 EISSN: 1097458X Source Type: Journal
DOI: 10.1002/mrc.4074 Document Type: Article

Times cited : (22)

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