TY  - GEN 
AU  - Montero Meléndez, Trinidad
AU  - Llor, Xavier
AU  - García-Planella, Esther
AU  - Perretti, Mauro
AU  - Suárez García, Antonio
PY  - 2013
SN  - 1932-6203
UR  - http://hdl.handle.net/10481/29690
AB  - Background:

Improvement of patient quality of life is the ultimate goal of biomedical research, particularly when dealing with complex, chronic and debilitating conditions such as inflammatory bowel disease (IBD). This is largely dependent on...
AB  - Methods:

We performed a high throughput approach using microarray gene expression profiling of colon pinch biopsies from IBD patients to identify predictive transcriptional signatures associated with intestinal inflammation, differential diagnosis...
AB  - Results:

Transcriptional profiling divided patients in two subgroups that associated with degree of inflammation. Class predictors were identified with predictive accuracy ranging from 67 to 100%. The expression accuracy was confirmed by real...
AB  - Conclusions:

We conclude that using analytical algorithms for class prediction discovery can be useful to uncover gene expression profiles and identify classifier genes with potential stratification utility of IBD patients, a major step towards...
LA  - eng
PB  - Public Library of Science (PLOS)
KW  - Biomarkers
KW  - Biopsy
KW  - Diagnostic medicine
KW  - Gene expression
KW  - Inflammation
KW  - Inflammatory bowel diseases
KW  - Prognosis
TI  - Identification of novel predictor classifiers for inflammatory bowel disease by gene expression profiling
ER  -