Oct 5, 2020 · In this paper, we propose a network-driven approach named NLDAM which for lncRNA-disease association mapping. NLDAM detects associations between ...
Oct 2, 2020 · In this paper, we propose a network-driven approach named NLDAM which for lncRNA-disease association mapping. NLDAM detects associations between lncRNA and ...
In this paper, we propose a network-driven approach named NLDAM which for lncRNA-disease association mapping. NLDAM detects associations between lncRNA and ...
A Network-Driven Approach for LncRNA-Disease Association Mapping. https://doi ... A network-guided association mapping approach from DNA methylation to disease.
Jan 31, 2014 · In this paper, we investigated lncRNA-disease associations from a network view to understand the contribution of these lncRNAs to complex diseases.
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Mar 2, 2024 · In this method, the residual graph convolutional network combined with the attention mechanism is used to obtain the deep features of lncRNA and disease.
A lncRNA-disease association prediction tool development based ...
www.ncbi.nlm.nih.gov › PMC10234424
May 18, 2023 · We have developed a predictive tool, LDAGRL, for identifying potential LDAs using a bridge heterogeneous information network (BHnet) constructed via Structural ...
The model could predict the potential associations between lncRNA and malignant tumors such as colorectal cancer, gastric cancer, and breast cancer.
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Dec 15, 2022 · This study introduced a prediction model based on the nearest neighbor concept for lncRNA–disease association prediction.
Jul 30, 2024 · Identifying the associations between long noncoding RNAs (lncRNAs) and disease is critical for disease prevention, diagnosis and treatment.