Neighborhood embedding and re-ranking of disease genes with ADAGIO
Neighborhood embedding and re-ranking of disease genes with ADAGIO
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DOI：
10.1145/3535508.3545542
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发表时间：
2022-08
期刊：
影响因子：
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通讯作者：
Mert Erden;Megan Gelement;Sarrah Hakimjee;Kyla Levin;Mary-Joy Sidhom;K. Devkota;L. Cowen
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文献类型：
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作者：
Mert Erden;Megan Gelement;Sarrah Hakimjee;Kyla Levin;Mary-Joy Sidhom;K. Devkota;L. Cowen
我们提出了ADAGIO，一种新的基于网络的疾病基因优先级的方法，平衡网络互连结构与网络相似性的嵌入度量。我们表明，ADAGIO在最近的一个基准集（包括22种多基因疾病的疾病相关基因）中恢复已知疾病基因的性能优于以前的方法。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，疾病基因的排名列表，以及补充的数字和表格出现在https://github.com/merterden98/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.