对非编码RNA和复杂疾病关联的图形神经网络进行全面的审查和评估
Xiaowen Hu1, Dayun Liu1, Jiaxuan Zhang2
1School of Computer Science and Engineering, Central South University,410075 Changsha, China.
Briefings in bioinformatics
|November 20, 2023
概括
图形神经网络 (GNN) 在预测非编码RNA (ncRNA) 和疾病关联方面非常强大. 本调查回顾了GNN模型,挑战和ncRNA疾病研究的未来方向.
科学领域:
- 基因组学就是基因组学.
- 计算生物学 计算生物学
- 生物信息学是一种生物信息学.
背景情况:
- 非编码RNAs (ncRNAs) 在人类疾病发展中至关重要.
- 了解ncRNA与疾病的关联对于生物医学研究至关重要.
- 计算方法越来越多地用于预测这些关系.
结论:
- GNNs提供了一种最先进的方法来预测ncRNA与疾病的关联.
- 探索进一步的研究方向,以推进该领域.
- 这项调查为该领域的研究人员提供了宝贵的资源.
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