论文标题
生物随机步行：整合疾病基因优先次序中的异质数据
Biological Random Walks: integrating heterogeneous data in disease gene prioritization
论文作者
论文摘要
这项工作提出了一个统一的框架，以利用基于网络传播的基因优先算法中的生物学信息。乳腺癌数据的初步结果显示，基于最近的文献分析的功能分析，根据基于Interactome的算法，基因的优先次序是显着改善，例如，通过基于Interactome的算法确定的基因的优先级，但似乎与乳腺癌有关。
This work proposes a unified framework to leverage biological information in network propagation-based gene prioritization algorithms. Preliminary results on breast cancer data show significant improvements over state-of-the-art baselines, such as the prioritization of genes that are not identified as potential candidates by interactome-based algorithms, but that appear to be involved in/or potentially related to breast cancer, according to a functional analysis based on recent literature.
