MCANet: shared-weight-based MultiheadCrossAttention network for drug–target interaction prediction
J Bian, X Zhang, X Zhang, D Xu… - Briefings in …, 2023 - academic.oup.com
Accurate and effective drug–target interaction (DTI) prediction can greatly shorten the drug
development lifecycle and reduce the cost of drug development. In the deep-learning-based …
development lifecycle and reduce the cost of drug development. In the deep-learning-based …
End-to-end interpretable disease–gene association prediction
Identifying disease–gene associations is a fundamental and critical biomedical task towards
understanding molecular mechanisms, the diagnosis and treatment of diseases. It is time …
understanding molecular mechanisms, the diagnosis and treatment of diseases. It is time …
Drug repositioning with GraphSAGE and clustering constraints based on drug and disease networks
The understanding of therapeutic properties is important in drug repositioning and drug
discovery. However, chemical or clinical trials are expensive and inefficient to characterize …
discovery. However, chemical or clinical trials are expensive and inefficient to characterize …
Analysis and modeling of myopia-related factors based on questionnaire survey
J Xiao, M Liu, Q Huang, Z Sun, L Ning, J Duan… - Computers in Biology …, 2022 - Elsevier
With the rapid development of science and technology, the trend of low age myopia is
becoming increasingly significant. The latest national survey done by the Chinese …
becoming increasingly significant. The latest national survey done by the Chinese …
CMAUP database update 2024: extended functional and association information of useful plants for biomedical research
Abstract Knowledge of the collective activities of individual plants together with the derived
clinical effects and targeted disease associations is useful for plant-based biomedical …
clinical effects and targeted disease associations is useful for plant-based biomedical …
ExamPle: explainable deep learning framework for the prediction of plant small secreted peptides
Abstract Motivation Plant Small Secreted Peptides (SSPs) play an important role in plant
growth, development, and plant–microbe interactions. Therefore, the identification of SSPs is …
growth, development, and plant–microbe interactions. Therefore, the identification of SSPs is …
iSnoDi-LSGT: identifying snoRNA-disease associations based on local similarity constraints and global topological constraints
W Zhang, B Liu - Rna, 2022 - rnajournal.cshlp.org
Growing evidence proves that small nucleolar RNAs (snoRNAs) have important functions in
various biological processes, the malfunction of which leads to the emergence and …
various biological processes, the malfunction of which leads to the emergence and …
MorbidGCN: prediction of multimorbidity with a graph convolutional network based on integration of population phenotypes and disease network
Exploring multimorbidity relationships among diseases is of great importance for
understanding their shared mechanisms, precise diagnosis and treatment. However, the …
understanding their shared mechanisms, precise diagnosis and treatment. However, the …
CoGO: a contrastive learning framework to predict disease similarity based on gene network and ontology structure
Motivation Quantifying the similarity of human diseases provides guiding insights to the
discovery of micro-scope mechanisms from a macro scale. Previous work demonstrated that …
discovery of micro-scope mechanisms from a macro scale. Previous work demonstrated that …
Representation Learning of Biological Concepts: A Systematic Review
Objective: Representation learning in the context of biological concepts involves acquiring
their numerical representations through various sources of biological information, such as …
their numerical representations through various sources of biological information, such as …