基于ADAGIO的邻域嵌入与疾病基因重排序

Proceedings of the 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics Pub Date : 2022-08-07 DOI:10.1145/3535508.3545542

Mert Erden, Megan Gelement, Sarrah Hakimjee, Kyla Levin, Mary-Joy Sidhom, K. Devkota, L. Cowen

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引用次数: 0

摘要

我们提出了一种基于网络的疾病基因优先排序的新方法ADAGIO，该方法通过网络相似性的嵌入度量来平衡网络互连结构。我们表明，在最近的基准集包括22种多基因疾病的疾病相关基因中，ADAGIO在恢复已知疾病基因方面比以前的方法表现得更好。我们发现ADAGIO在阿尔茨海默病和帕金森病中发现了一些有趣的新疾病基因候选者。代码、疾病基因排序表以及补充图和表格见https://github.com/merterden98/ADAGIO。

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Neighborhood embedding and re-ranking of disease genes with ADAGIO

We present ADAGIO, a new method for network-based disease gene prioritization that balances network interconnection structure with an embedding measure of network similarity. We show ADAGIO performs better than previous methods for recovering known disease genes in a recent benchmark set encompassing disease-associated genes for 22 polygenic diseases. We find ADAGIO discovers some interesting new disease gene candidates in both Alzheimer's and Parkinson's diseases. Code, ranked lists of disease genes, and supplementary figures and tables appear at https://github.com/merterden98/ADAGIO.

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Proceedings of the 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics

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