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PathWalks: identifying pathway communities using a disease-related map of integrated information.
Bioinformatics ( IF 4.4 ) Pub Date : 2020-05-05 , DOI: 10.1093/bioinformatics/btaa291
Evangelos Karatzas 1 , Margarita Zachariou 2, 3 , Marilena M Bourdakou 2, 4 , George Minadakis 2, 3 , Anastasis Oulas 2, 3 , George Kolios 4 , Alex Delis 1 , George M Spyrou 2, 3
Affiliation  

Understanding the underlying biological mechanisms and respective interactions of a disease remains an elusive, time consuming and costly task. Computational methodologies that propose pathway/mechanism communities and reveal respective relationships can be of great value as they can help expedite the process of identifying how perturbations in a single pathway can affect other pathways.

中文翻译:

PathWalks:使用疾病相关的综合信息图来确定途径社区。

了解疾病的潜在生物学机制和各自的相互作用仍然是一项艰巨,耗时且昂贵的任务。提出途径/机制共同体并揭示各自关系的计算方法可能具有重要价值,因为它们可以帮助加快识别单个途径中的扰动如何影响其他途径的过程。
更新日期:2020-07-03
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