lncRNA Disease Association

Long non-coding RNAs (lncRNAs) are increasingly recognized for their roles in human diseases, prompting research into accurately predicting lncRNA-disease associations (LDAs). Current research focuses on developing sophisticated computational models, often employing deep learning architectures like convolutional neural networks and graph attention networks, to integrate diverse biological data (e.g., miRNA interactions) and predict novel LDAs. These predictive models aim to improve our understanding of disease mechanisms and potentially facilitate earlier diagnosis and targeted therapies. The accurate identification of LDAs holds significant promise for advancing personalized medicine and improving patient outcomes.