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本文引用的文献

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Causal association of COVID-19 with brain structure changes: Findings from a non-overlapping 2-sample Mendelian randomization study.COVID-19 与大脑结构变化的因果关联:来自非重叠 2 样本孟德尔随机化研究的发现。
J Neurol Sci. 2023 Nov 15;454:120864. doi: 10.1016/j.jns.2023.120864. Epub 2023 Oct 31.
2
ViPal: A framework for virulence prediction of influenza viruses with prior viral knowledge using genomic sequences.ViPal:利用基因组序列和病毒先验知识进行流感病毒毒力预测的框架。
J Biomed Inform. 2023 Jun;142:104388. doi: 10.1016/j.jbi.2023.104388. Epub 2023 May 11.
3
Predicting CircRNA-Disease Associations via Feature Convolution Learning With Heterogeneous Graph Attention Network.基于异质图注意力网络的特征卷积学习预测环状 RNA 与疾病的关联。
IEEE J Biomed Health Inform. 2023 Jun;27(6):3072-3082. doi: 10.1109/JBHI.2023.3260863. Epub 2023 Jun 5.
4
GraphLncLoc: long non-coding RNA subcellular localization prediction using graph convolutional networks based on sequence to graph transformation.GraphLncLoc:基于序列到图转换的图卷积网络预测长链非编码RNA亚细胞定位
Brief Bioinform. 2023 Jan 19;24(1). doi: 10.1093/bib/bbac565.
5
DAESTB: inferring associations of small molecule-miRNA via a scalable tree boosting model based on deep autoencoder.DAESTB:通过基于深度自动编码器的可扩展树提升模型推断小分子-miRNA 的关联。
Brief Bioinform. 2022 Nov 19;23(6). doi: 10.1093/bib/bbac478.
6
A framework for predicting variable-length epitopes of human-adapted viruses using machine learning methods.使用机器学习方法预测人类适应病毒的可变长度表位的框架。
Brief Bioinform. 2022 Sep 20;23(5). doi: 10.1093/bib/bbac281.
7
RNMFLP: Predicting circRNA-disease associations based on robust nonnegative matrix factorization and label propagation.RNMFLP:基于稳健非负矩阵分解和标签传播预测环状RNA与疾病的关联
Brief Bioinform. 2022 Sep 20;23(5). doi: 10.1093/bib/bbac155.
8
Mammalian circular RNAs result largely from splicing errors.哺乳动物的环状 RNA 主要来源于剪接错误。
Cell Rep. 2021 Jul 27;36(4):109439. doi: 10.1016/j.celrep.2021.109439.
9
Noncoding RNA therapeutics - challenges and potential solutions.非编码 RNA 治疗学——挑战与潜在解决方案。
Nat Rev Drug Discov. 2021 Aug;20(8):629-651. doi: 10.1038/s41573-021-00219-z. Epub 2021 Jun 18.
10
Construction of a ceRNA-based lncRNA-mRNA network to identify functional lncRNAs in polycystic ovarian syndrome.构建 ceRNA 相关的 lncRNA-mRNA 网络鉴定多囊卵巢综合征中的功能性 lncRNA
Aging (Albany NY). 2021 Mar 10;13(6):8481-8496. doi: 10.18632/aging.202659.

Editorial: Computational methods to analyze RNA data for human diseases.

作者信息

Ding Pingjian, Zeng Min, Yin Rui

机构信息

Center for Artificial Intelligence in Drug Discovery, School of Medicine, Case Western Reserve University, Cleveland, OH, United States.

School of Computer Science and Engineering, Central South University, Changsha, China.

出版信息

Front Genet. 2023 Aug 22;14:1270334. doi: 10.3389/fgene.2023.1270334. eCollection 2023.

DOI:10.3389/fgene.2023.1270334
PMID:37674479
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10478215/
Abstract
摘要