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New approaches to identify cancer heterogeneity in DNA methylation studies using the lepage test and multinomial logistic regression

机译:使用lepage试验和多项逻辑回归鉴定DNA甲基化研究中癌症异质性的新方法

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It is well known that cancer cells are diverse and heterogeneous among patients, and that this heterogeneity makes cancer diagnosis and cure difficult. Intra-tumoral heterogeneity has very recently become important because a small proportion of drug-resistant or tumor-initiating cells can ultimately determine a patient's outcome. In this study, we propose new approaches to use variance tests, including the Lepage test, to identify inter-patient cancer heterogeneity, as well as multinomial logistic regression to identify intra-patient cancer heterogeneity, i.e., different epiallele composition. We conduct experiments to show the performance of the proposed approaches.
机译:众所周知,癌细胞在患者中是多种多样的,并且这种异质性使癌症诊断和治愈困难。肿瘤内的异质性最近非常重要,因为耐药性或肿瘤引发细胞的一小比例可以最终决定患者的结果。在这项研究中,我们提出了新方法来使用缺口试验,包括卵瘤试验,以识别患有患者间癌症的异质性,以及多项逻辑物流回归,以鉴定患有患有患者的癌症异质性,即不同的EPiallele组合物。我们进行实验以显示提出的方法的性能。

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