DCTGM: A Novel Dual-channel Transformer Graph Model for miRNA-disease Association Prediction

Author:

Pang Shanchen,Zhuang Yu,Qiao Sibo,Wang Fuyu,Wang ShudongORCID,Lv Zhihan

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Cognitive Neuroscience,Computer Science Applications,Computer Vision and Pattern Recognition

Reference41 articles.

1. Chen X, Yan CC, Luo C. Constructing lncRNA functional similarity network based on lncRNA-disease associations and disease semantic similarity. Sci Rep. 2015;5:11338.

2. Ponting CP, Oliver PL, Reik W. Evolution and functions of long noncoding RNAs. Cell. 2009;136:629–41.

3. Szymański M, Barciszewski J. Noncoding RNAs in human diseases. Springer, Berlin Heidelberg. 2008;12:861–74.

4. Ambros V. The functions of animal microRNAs. Nature. 2004;431:350–5.

5. Afshar S, Warden E, Manochehri H, Saidijam M. Application of artificial neural network in miRNA biomarker selection and precise diagnosis of colorectal cancer. Iran Biomed J. 2018;23(3):175–83.

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1. GRPGAT: Predicting CircRNA-disease Associations Based on Graph Random Propagation Network and Graph Attention Network;2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2023-12-05

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