LDA-VGHB: identifying potential lncRNA–disease associations with singular value decomposition, variational graph auto-encoder and heterogeneous Newton …

L Peng, L Huang, Q Su, G Tian, M Chen… - Briefings in …, 2024 - academic.oup.com
Long noncoding RNAs (lncRNAs) participate in various biological processes and have close
linkages with diseases. In vivo and in vitro experiments have validated many associations …

SVDNVLDA: predicting lncRNA-disease associations by Singular Value Decomposition and node2vec

J Li, J Li, M Kong, D Wang, K Fu, J Shi - BMC bioinformatics, 2021 - Springer
Background Numerous studies on discovering the roles of long non-coding RNAs (lncRNAs)
in the occurrence, development and prognosis progresses of various human diseases have …

Novel human lncRNA–disease association inference based on lncRNA expression profiles

X Chen, GY Yan - Bioinformatics, 2013 - academic.oup.com
Motivation: More and more evidences have indicated that long–non-coding RNAs (lncRNAs)
play critical roles in many important biological processes. Therefore, mutations and …

SDLDA: lncRNA-disease association prediction based on singular value decomposition and deep learning

M Zeng, C Lu, F Zhang, Y Li, FX Wu, Y Li, M Li - Methods, 2020 - Elsevier
In recent years, accumulating studies have shown that long non-coding RNAs (lncRNAs) not
only play an important role in the regulation of various biological processes but also are the …

TPGLDA: Novel prediction of associations between lncRNAs and diseases via lncRNA-disease-gene tripartite graph

L Ding, M Wang, D Sun, A Li - Scientific reports, 2018 - nature.com
Accumulating evidences have indicated that lncRNAs play an important role in various
human complex diseases. However, known disease-related lncRNAs are still comparatively …

LDICDL: LncRNA-disease association identification based on collaborative deep learning

W Lan, D Lai, Q Chen, X Wu, B Chen… - … ACM transactions on …, 2020 - ieeexplore.ieee.org
It has been proved that long noncoding RNA (lncRNA) plays critical roles in many human
diseases. Therefore, inferring associations between lncRNAs and diseases can contribute to …

MHRWR: Prediction of lncRNA-disease associations based on multiple heterogeneous networks

X Zhao, Y Yang, M Yin - IEEE/ACM transactions on …, 2020 - ieeexplore.ieee.org
In the last few years, accumulating evidences had demonstrated that long non-coding RNAs
(lncRNAs) participated in the regulation of target gene expression and played an important …

A representation learning model based on variational inference and graph autoencoder for predicting lncRNA-disease associations

Z Shi, H Zhang, C Jin, X Quan, Y Yin - BMC bioinformatics, 2021 - Springer
Background Numerous studies have demonstrated that long non-coding RNAs are related
to plenty of human diseases. Therefore, it is crucial to predict potential lncRNA-disease …

iLncRNAdis-FB: identify lncRNA-disease associations by fusing biological feature blocks through deep neural network

H Wei, Q Liao, B Liu - IEEE/ACM transactions on computational …, 2020 - ieeexplore.ieee.org
Identification of lncRNA-disease associations is not only important for exploring the disease
mechanism, but will also facilitate the molecular targeting drug discovery. Fusing multiple …

LDAH2V: Exploring meta-paths across multiple networks for lncRNA-disease association prediction

L Deng, W Li, J Zhang - IEEE/ACM Transactions on …, 2019 - ieeexplore.ieee.org
Accumulating evidence has demonstrated dysfunctions of long non-coding RNAs (lncRNAs)
are involved in various complex human diseases. However, even today, the relationships …