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Application of Classification Algorithms on IDDM Rat Data

机译:分类算法在IDDM大鼠数据中的应用

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In our study, we intend to investigate the mechanism of tolerance induction by the modulatory and CD4 monoclonal antibody RIB 5/2 in insulin dependent diabetes mellitus rats. The aim of this investigation is to identify the key mechanisms of immune tolerance on the level of T cell, cytokine, and chemokine biomarkers in the blood, lymphatic organs, and pancreas. Additionally, it should be possible to define good biomarkers of autoimmunity and tolerance for prediction of diabetes onset. We mainly applied decision trees and later on some other classification algorithms on a rather small data set Unfortunately, the results are not significant but are good enough to satisfy our biological partners.
机译:在我们的研究中,我们打算研究在胰岛素依赖型糖尿病大鼠中通过调节性和CD4单克隆抗体RIB 5/2诱导耐受性的机制。这项研究的目的是确定血液,淋巴器官和胰腺中T细胞,细胞因子和趋化因子生物标志物水平的免疫耐受的关键机制。另外,应该有可能定义良好的自身免疫性和耐受性生物标志物,以预测糖尿病的发作。我们主要在很小的数据集上应用决策树,然后再将其应用到其他一些分类算法上。不幸的是,结果并不明显,但足以满足我们的生物伙伴。

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