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A Computational Model for Genetic and Epigenetic Signals in Colon Cancer

机译:结肠癌遗传学和表观遗传信号的计算模型

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Cancer, a class of diseases, which are characterized by abnormal cell growth, has one of the highest overall death rates world-wide. Its development has been linked to genetic and epigenetic events that aberrantly affect the regulation of key genes that control cellular mechanisms. However, a distinct problem in cancer research is the lack of precise information on tumor pathways, so the delineation of these and the processes underlying disease proliferation is an important area of investigation. This has motivated the effort to build computational models to help understand the molecular changes that lead to one or more types of malignancy. The current work aims to develop a prototype network-based model to describe cancer initiation and progression, with a focus on three main layers: micro-molecular events, gene interactions and cancer stages.
机译:癌症,一类疾病,其特征在于细胞生长异常,具有全球最高的整体死亡率之一。它的发展与遗传和表观遗传事件有关,其异常影响控制细胞机制的关键基因的调节。然而,癌症研究中的明显问题是有关肿瘤途径的精确信息,因此疾病增殖的划定和过程是一个重要的调查领域。这有动力建立计算模型,以帮助了解导致一种或多种恶性肿瘤的分子变化。目前的工作旨在开发基于原型网络的模型,以描述癌症启动和进展,重点关注三个主要层:微分子事件,基因相互作用和癌症阶段。

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