GEnDDn:基于双网神经架构和深度神经网络的 lncRNA-疾病关联识别框架
Lihong Peng1, Mengnan Ren1, Liangliang Huang1
1College of Life Science and Chemistry, Hunan University of Technology, Zhuzhou, 412007, China.
概括
本研究介绍了GEnDDn,这是一个深度学习框架,用于预测长非编码RNA疾病关联 (LDA). GEnDDn准确地识别了潜在的LDA,为癌症治疗和药物开发提供了洞察力.
科学领域:
- 基因组学就是基因组学.
- 生物信息学是一种生物信息学.
- 计算生物学 计算生物学
背景情况:
- 长非编码RNA (lncRNAs) 越来越多地与各种疾病有关.
- 识别 lncRNA-疾病关联 (LDA) 对于理解疾病机制和开发向癌症疗法至关重要.
研究的目的:
- 开发和验证一个新的深度学习框架,GEnDDn,用于预测 lncRNA-疾病关联 (LDA).
- 为识别可能涉及肺癌和乳腺癌的 lncRNA 提供计算工具.
主要方法:
- 用相似性计算,非负矩阵因子化和图表注意力自动编码器来提取 lncRNA 和疾病的特征.
- 通过特征连接, lncRNA-疾病对 (LDP) 的载体表示.
- 使用双网神经架构和深度神经网络对未知的LDP进行分类.
主要成果:
- 在lncRNADisease和MNDR数据库中,GEnDDn显著超过了现有的四种LDA预测方法.
- 交叉验证实验证明了GEnDDn在各种评估指标上的强表现.
- 废弃性研究证实了GEnDDn成分在LDA预测中的有效性.
- GEnDDn发现IFNG-AS1与肺癌,HIF1A-AS1与乳腺癌之间的潜在关联.
结论:
- GEnDDn是一个强大而准确的计算框架,用于预测 lncRNA-疾病关联.
- 对肺癌和乳腺癌的潜在LDAs需要进一步的实验验证.
- GEnDDn为癌症研究和治疗开发提供了宝贵的资源.
相关概念视频
02:39lncRNA - Long Non-coding RNAs
8.6K
In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA...
8.6K
01:11Genome-wide Association Studies-GWAS
13.3K
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
GWAS does not require the identification of the target gene involved in...
13.3K
03:18Non-LTR Retrotransposons
11.5K
As the name suggests, non-LTR retrotransposons lack the long terminal repeats characteristic of the LTR retrotransposons. Additionally, both LTR and non-LTR retrotransposons use distinct mechanisms of mobilization. Non-LTR retrotransposons are further divided into two classes - Long interspersed nuclear elements (LINEs) and short interspersed nuclear elements (SINEs), both of which occur abundantly in most mammals, including humans. Some of the active non-LTR retrotransposons in humans are L1...
11.5K
01:05Single Nucleotide Polymorphisms-SNPs
15.0K
A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
15.0K