Heterogeneous biomedical entity representation learning for gene–disease association prediction
Understanding the genetic basis of disease is a fundamental aspect of medical research, as
genes are the classic units of heredity and play a crucial role in biological function …
genes are the classic units of heredity and play a crucial role in biological function …
TriFusion enables accurate prediction of miRNA-disease association by a tri-channel fusion neural network
S Long, X Tang, X Si, T Kong, Y Zhu, C Wang… - Communications …, 2024 - nature.com
The identification of miRNA-disease associations is crucial for early disease prevention and
treatment. However, it is still a computational challenge to accurately predict such …
treatment. However, it is still a computational challenge to accurately predict such …
RNA Sequence Analysis Landscape: A Comprehensive Review of Task Types, Databases, Datasets, Word Embedding Methods, and Language Models
Deciphering information of RNA sequences reveals their diverse roles in living organisms,
including gene regulation and protein synthesis. Aberrations in RNA sequence such as …
including gene regulation and protein synthesis. Aberrations in RNA sequence such as …
[HTML][HTML] PCDA-HNMP: Predicting circRNA-disease association using heterogeneous network and meta-path
L Chen, X Zhao - Mathematical Biosciences and Engineering, 2023 - aimspress.com
Increasing amounts of experimental studies have shown that circular RNAs (circRNAs) play
important regulatory roles in human diseases through interactions with related microRNAs …
important regulatory roles in human diseases through interactions with related microRNAs …
DEJKMDR: miRNA-disease association prediction method based on graph convolutional network
S Gao, Z Kuang, T Duan, L Deng - Frontiers in Medicine, 2023 - frontiersin.org
Numerous studies have shown that miRNAs play a crucial role in the investigation of
complex human diseases. Identifying the connection between miRNAs and diseases is …
complex human diseases. Identifying the connection between miRNAs and diseases is …
DAEMDA: a method with dual-channel attention encoding for miRNA–disease association prediction
B Dong, W Sun, D Xu, G Wang, T Zhang - Biomolecules, 2023 - mdpi.com
A growing number of studies have shown that aberrant microRNA (miRNA) expression is
closely associated with the evolution and development of various complex human diseases …
closely associated with the evolution and development of various complex human diseases …
Causal enhanced drug–target interaction prediction based on graph generation and multi-source information fusion
G Qiao, G Wang, Y Li - Bioinformatics, 2024 - academic.oup.com
Motivation The prediction of drug–target interaction is a vital task in the biomedical field,
aiding in the discovery of potential molecular targets of drugs and the development of …
aiding in the discovery of potential molecular targets of drugs and the development of …
[HTML][HTML] Drug discovery and development in the era of artificial intelligence: From machine learning to large language models
Abstract Drug Research and Development (R&D) is a complex and difficult process, and
current drug R&D faces the challenges of long time span, high investment, and high failure …
current drug R&D faces the challenges of long time span, high investment, and high failure …
[HTML][HTML] Graph reasoning method enhanced by relational transformers and knowledge distillation for drug-related side effect prediction
Identifying the side effects related to drugs is beneficial for reducing the risk of drug
development failure and saving the drug development cost. We proposed a graph reasoning …
development failure and saving the drug development cost. We proposed a graph reasoning …
Improving ncRNA family prediction using multi-modal contrastive learning of sequence and structure
R Xu, D Li, W Yang, G Wang, Y Li - Bioinformatics, 2024 - academic.oup.com
Motivation Recent advancements in high-throughput sequencing technology have
significantly increased the focus on non-coding RNA (ncRNA) research within the life …
significantly increased the focus on non-coding RNA (ncRNA) research within the life …