GCNFORMER: graph convolutional network and transformer for predicting lncRNA-disease associations

Abstract Background A growing body of researches indicate that the disrupted expression of long non-coding RNA (lncRNA) is linked to a range of human disorders. Therefore, the effective prediction of lncRNA-disease association (LDA) can not only suggest solutions to diagnose a condition but also sav...

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Bibliographic Details

Published in:	BMC Bioinformatics
Main Authors:	Dengju Yao, Bailin Li, Xiaojuan Zhan, Xiaorong Zhan, Liyang Yu
Format:	Article
Language:	English
Published:	BMC 2024-01-01
Subjects:	LncRNA-disease association prediction Graph convolutional network transformer Machine learning Multiheaded attention mechanism
Online Access:	https://doi.org/10.1186/s12859-023-05625-1