We compared GCNFORMER with six advanced LDA prediction models, and the results indicated its superiority over the other six models. Furthermore, GCNFORMER's effectiveness in predicting potential LDAs is underscored by case studies on breast cancer, colon cancer and lung cancer.Conclusions The ...
From: GCNFORMER: graph convolutional network and transformer for predicting lncRNA-disease associations Original Submission 22 Oct 2023 Submitted Original manuscript 1 Nov 2023 Reviewed Reviewer Report 2 Nov 2023 Reviewed Reviewer Report - Cunmei Ji 22 Nov 2023 Author responded Author comments - Dengju...
Pull requests Actions Projects Security Insights Additional navigation options gcnformer.rar Add files via upload Oct 22, 2023 Repository files navigation README GCNFORMER Graph convolutional network and transformer for predicting lncRNA-disease associations ...
Our proposed GCNFormer module exploits the local relationship between adjacent joints, outputting a new representation that is complementary to the transformer output. By fusing these two representation in an adaptive way, AGFormer exhibits the ability to better learn the underlying 3D structure. By ...
Advanced Multi-Label Fire Scene Image Classification via BiFormer, Domain-Adversarial Network and GCNdoi:10.3390/fire7090322Detecting wildfires presents significant challenges due to the presence of various potential targets in fire imagery, such as smoke, vehicles, and people. To address these ...