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Embedding gene sets in low-dimensional space
Nature Machine Intelligence ( IF 23.8 ) Pub Date : 2020-07-15 , DOI: 10.1038/s42256-020-0204-3
Jan Hoinka , Teresa M. Przytycka

An important task in system biology is to understand cellular processes through the lens of gene sets and their expression patterns. Machine learning can help, but genes form complex interaction networks, and levarging this information in machine learning applications requires a sophisticated data representation.

中文翻译:

将基因集嵌入低维空间

系统生物学的一项重要任务是通过基因集及其表达方式来了解细胞过程。机器学习可以提供帮助,但是基因形成了复杂的交互网络,在机器学习应用程序中共享这些信息需要复杂的数据表示。
更新日期:2020-07-15
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