Mining Gene Expression Data of Multiple Sclerosis
نویسندگان
چکیده
منابع مشابه
Mining Gene Expression Data of Multiple Sclerosis
OBJECTIVES Microarray produces a large amount of gene expression data, containing various biological implications. The challenge is to detect a panel of discriminative genes associated with disease. This study proposed a robust classification model for gene selection using gene expression data, and performed an analysis to identify disease-related genes using multiple sclerosis as an example. ...
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Background: Recent studies have found some genetic variants as a risk factor for autoimmune diseases such as Multiple Sclerosis (MS). Cluster of Differentiation 226 (CD226) is one of the risk factors for MS. Objectives: The present study aimed to evaluate the gene expression of CD226, and its protein serum level in peripheral blood samples of MS patients and healthy individuals. Materials & ...
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ژورنال
عنوان ژورنال: PLoS ONE
سال: 2014
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0100052