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Associating Protein Interactions with Disease Comorbidity to Prioritize Colorectal Cancer Genes

机译:将蛋白质相互作用与疾病合并症相关,以优先考虑结直肠癌基因

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Identification of disease causing genes is one of the most important topics in human health that affects disease therapy and understanding disease mechanism.Genome-wide association studies focus on chromosomal locus which contains many suspected disease genes.Gene prioritization methods identify the most probable unknown disease genes due to this locus.In this study a network-based approach is proposed to prioritize colorectal cancer genes.Different methods involved in this approach are random walk with restart, network propagation and shortest path algorithms, which are separately applied on protein-protein interaction network to prioritize genes.Then these methods are combined in different ways to find the best combination of them for identifying disease genes.Finally by looking through comorbid diseases to colorectal cancer and extracting their causing genes, the proposed approach is reconsidered.The method is validated by cross-validation analysis and its results are compared with other prioritization methods.This comparison shows the better performance of this new approach.
机译:鉴定导致基因的疾病是人类健康中最重要的旨在影响疾病治疗和理解疾病机制的主题之一。一般的协会研究重点关注含有许多疑似疾病基因的染色体轨迹。依烯优先级方法鉴定最可能的未知疾病基因由于该研究。本研究提出了一种基于网络的方法,以优先考虑结直肠癌基因。这种方法所涉及的不同方法是随机行走,随机散步,网络传播和最短路径算法,它们分别应用于蛋白质 - 蛋白质相互作用网络优先考虑基因。这些方法以不同的方式组合,以找到它们用于鉴定疾病基因的最佳组合。通过通过观察聚合物疾病并提取其引起基因来提取其引起的基因来重新考虑。方法是通过与交叉验证分析及其结果进行比较其他优先级方法。这比较显示了这种新方法的性能更好。

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