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CCLDA: prediction of lncRNA-disease associations based on Convolutional Block Attention Module and Capsule Network.

Artificial intelligence in medicine - 1 Nov 2025

Meng Lingyu, Zhang Teng, Yang Yueying, Zhang Jiahui, Tan Jianjun

Abstract excerpt

Several studies have shown that long non-coding RNAs (lncRNAs) influence the biological processes of many diseases, including disease onset, progression, and recovery. Therefore, predicting potential lncRNA-disease associations (LDAs) is crucial for enhancing disease diagnosis and therapy. Compared with biological experimental methods for identifying potential LDAs, computational approaches offer advantages in...

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PMID: 40819606
DOI: 10.1016/j.artmed.2025.103238

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