2012
DOI: 10.1186/2043-9113-2-20
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Using gene expression data to identify certain gastro-intestinal diseases

Abstract: BackgroundInflammatory bowel diseases, ulcerative colitis and Crohn’s disease are considered to be of autoimmune origin, but the etiology of irritable bowel syndrome remains elusive. Furthermore, classifying patients into irritable bowel syndrome and inflammatory bowel diseases can be difficult without invasive testing and holds important treatment implications. Our aim was to assess the ability of gene expression profiling in blood to differentiate among these subject groups.MethodsTranscript levels of a tota… Show more

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Cited by 7 publications
(11 citation statements)
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References 34 publications
(30 reference statements)
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“…Support Vector Machines developed by Cortes and Vapnik et al . 17 has recently been employed extensively in biological prediction problem 18 , clinical decision making 19 & risk prediction of common diseases like prediabetes and diabetes 20 . To provide a background of the underlying theory, such problems are typically modelled as quadratic optimization problems.…”
Section: Resultsmentioning
confidence: 99%
“…Support Vector Machines developed by Cortes and Vapnik et al . 17 has recently been employed extensively in biological prediction problem 18 , clinical decision making 19 & risk prediction of common diseases like prediabetes and diabetes 20 . To provide a background of the underlying theory, such problems are typically modelled as quadratic optimization problems.…”
Section: Resultsmentioning
confidence: 99%
“…The gene probes on the TLDA plate were: OAS1, GATA3, PMAIP1, CTSS, FOS, CSF3R, TGFBR2, TP53, B2M, APOBEC3F, TBP, EXT2, HLA-DRA, GNB5, IL11RA, EPHX2, ACTB, CDKN1B, ASL, ACTR1A, POU6F1, LLGL2, PGK1. Inclusion of the specific gene targets was based upon the following criteria: (a) previous studies demonstrating differential expression among control and multiple autoimmune disease cohorts, (b) protein products possess known inflammatory functions, (c) expression levels change in response to pro-inflammatory stimuli (cytokines), and/or (d) protein products have known roles in cell cycle progression and/or apoptosis 5, 8, 30, 31 . Individual transcript levels were normalized to GAPDH levels and expressed as the log 2 transformed [MS-naive/CTRL group] ratio.…”
Section: Resultsmentioning
confidence: 99%
“…These studies were based on our early studies examining the gene expression profiles of MS patients which showed an increased expression of genes which participate in the innate immune response and the more recent studies showing the expression of IL-33 to be increased in MS 59 .…”
Section: Introductionmentioning
confidence: 99%
“…More recently, these techniques have been introduced to solve medical classification and medical prediction problems and aid clinical decision making[18], [19], [20], [21]. In the epidemiology domain, machine learning algorithms also have the potential for prediction, classification and risk factor identification.…”
Section: Introductionmentioning
confidence: 99%
“…Data modelling methods based on machine learning, such as Artificial Neural Networks (ANN) and Support Vector Machines (SVM), have been extensively used in bioinformatics and molecular biology [15] , . More recently, these techniques have been introduced to solve medical classification and medical prediction problems and aid clinical decision making [18] , [19] , [20] , [21] . In the epidemiology domain, machine learning algorithms also have the potential for prediction, classification and risk factor identification.…”
Section: Introductionmentioning
confidence: 99%