Node-adaptive graph Transformer with structural encoding for accurate and robust lncRNA-disease association prediction - Li, Guanghui; Bai, Peihao; Liang, Cheng; Luo, Jiawei (BMC genomics, 2024)
Keywords: Algorithms; Animal Genetics and Genomics; Bioinformatics; Biological activity; Biomedical and Life Sciences; Cell cycle; Cell differentiation; Computational Biology - methods; Datasets; Deep learning; Differentiation (biology); Disease; Electronic data processing; Embedding; Experiments; Gene expression; Genetic disorders; Genetic research; Genetic susceptibility; Graph representations; Health aspects; Humans; Life Sciences; lncRNA-disease associations; Machine learning; Message passing; Methods; Microarrays; Microbial Genetics and Genomics; MicroRNAs; Modules; Neoplasms - genetics; Neural networks; Node-adaptive feature smoothing; Nodes; Non-coding RNA; Plant Genetics and Genomics; Proteomics; Researchers; RNA; RNA, Long Noncoding - genetics; RNA, Long Noncoding - metabolism; Structural deep network embedding; Transformer; Transformers; China; lncRNA-disease associations; Structural deep network embedding; Transformer; Node-adaptive feature smoothing