June 6, 2024, 4:43 a.m. | Wen-Yu Xi, Juan Wang, Yu-Lin Zhang, Jin-Xing Liu, Yin-Lian Gao

cs.LG updates on arXiv.org arxiv.org

arXiv:2406.03406v1 Announce Type: new
Abstract: The emerging research shows that lncRNA has crucial research value in a series of complex human diseases. Therefore, the accurate identification of lncRNA-disease associations (LDAs) is very important for the warning and treatment of diseases. However, most of the existing methods have limitations in identifying nonlinear LDAs, and it remains a huge challenge to predict new LDAs. In this paper, a deep learning model based on a heterogeneous network and convolutional neural network (CNN) is …

abstract arxiv association convolutional convolutional neural network cs.ai cs.lg disease diseases however human identification information network neural network prediction q-bio.qm research series shows treatment type value

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