Van Laere Steven, Dirix Luc, Vermeulen Peter
Translational Cancer Research Unit, Center for Oncological Research, Faculty of Medicine and Health Sciences, University of Antwerp, Oosterveldlaan 24, Wilrijk, 2610, Antwerp, Belgium.
Chin J Cancer. 2016 Jun 16;35(1):53. doi: 10.1186/s40880-016-0112-4.
Interpreting molecular profiles in a biological context requires specialized analysis strategies. Initially, lists of relevant genes were screened to identify enriched concepts associated with pathways or specific molecular processes. However, the shortcoming of interpreting gene lists by using predefined sets of genes has resulted in the development of novel methods that heavily rely on network-based concepts. These algorithms have the advantage that they allow a more holistic view of the signaling properties of the condition under study as well as that they are suitable for integrating different data types like gene expression, gene mutation, and even histological parameters.
在生物学背景下解读分子图谱需要专门的分析策略。最初，对相关基因列表进行筛选，以识别与通路或特定分子过程相关的富集概念。然而，使用预定义基因集解读基因列表的缺点导致了严重依赖基于网络概念的新方法的发展。这些算法的优点是，它们能让人们更全面地了解所研究疾病状态的信号特性，并且它们适用于整合不同的数据类型，如基因表达、基因突变，甚至组织学参数。
