Node-adaptive graph Transformer with structural encoding for accurate and robust lncRNA-disease association prediction

Node-adaptive graph Transformer with structural encoding for accurate and robust lncRNA-disease association prediction

Abstract Background Long noncoding RNAs (lncRNAs) are integral to a plethora of critical cellular biological processes, including the regulation of gene expression, cell differentiation, and the development of tumors and cancers. Predicting the relationships between lncRNAs and diseases can contribu...

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Bibliographic Details
Main Authors: Guanghui Li, Peihao Bai, Cheng Liang, Jiawei Luo
Format: Article
Language:English
Published: BMC 2024-01-01
Series:BMC Genomics
Subjects:
lncRNA-disease associations
Transformer
Structural deep network embedding
Node-adaptive feature smoothing
Online Access:https://doi.org/10.1186/s12864-024-09998-2

Internet

https://doi.org/10.1186/s12864-024-09998-2

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