Long non-coding RNAs and complex diseases: from experimental results to computational models

X Chen, CC Yan, X Zhang, ZH You - Briefings in bioinformatics, 2017 - academic.oup.com
LncRNAs have attracted lots of attentions from researchers worldwide in recent decades.
With the rapid advances in both experimental technology and computational prediction …

[HTML][HTML] Long noncoding RNAs and their link to cancer

JM Grixti, D Ayers - Non-coding RNA research, 2020 - Elsevier
The central dogma of molecular biology, developed from the study of simple organisms such
as Escherichia coli, has up until recently been that RNA functions mainly as an information …

Predicting lncRNA-disease associations and constructing lncRNA functional similarity network based on the information of miRNA

X Chen - Scientific reports, 2015 - nature.com
Accumulating experimental studies have indicated that lncRNAs play important roles in
various critical biological process and their alterations and dysregulations have been …

Analysis of cancer-related lncRNAs using gene ontology and KEGG pathways

L Chen, YH Zhang, G Lu, T Huang, YD Cai - Artificial intelligence in …, 2017 - Elsevier
Background Cancer is a disease that involves abnormal cell growth and can invade or
metastasize to other tissues. It is known that several factors are related to its initiation …

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 …

Predicting lncRNA–disease associations based on combining selective similarity matrix fusion and bidirectional linear neighborhood label propagation

GB Xie, RB Chen, ZY Lin, GS Gu, JR Yu… - Briefings in …, 2023 - academic.oup.com
Recent studies have revealed that long noncoding RNAs (lncRNAs) are closely linked to
several human diseases, providing new opportunities for their use in detection and therapy …

A random forest based computational model for predicting novel lncRNA-disease associations

D Yao, X Zhan, X Zhan, CK Kwoh, P Li, J Wang - BMC bioinformatics, 2020 - Springer
Background Accumulated evidence shows that the abnormal regulation of long non-coding
RNA (lncRNA) is associated with various human diseases. Accurately identifying disease …

Learning global dependencies and multi-semantics within heterogeneous graph for predicting disease-related lncRNAs

P Xuan, S Wang, H Cui, Y Zhao… - Briefings in …, 2022 - academic.oup.com
Abstract Motivation Long noncoding RNAs (lncRNAs) play an important role in the
occurrence and development of diseases. Predicting disease-related lncRNAs can help to …

Prediction of lncRNA-disease association based on a Laplace normalized random walk with restart algorithm on heterogeneous networks

L Wang, M Shang, Q Dai, P He - BMC bioinformatics, 2022 - Springer
Background More and more evidence showed that long non-coding RNAs (lncRNAs) play
important roles in the development and progression of human sophisticated diseases …

Specific topology and topological connection sensitivity enhanced graph learning for lncRNA–disease association prediction

P Xuan, H Bai, H Cui, X Zhang, T Nakaguchi… - Computers in Biology …, 2023 - Elsevier
Predicting disease-related candidate long noncoding RNAs (lncRNAs) is beneficial for
exploring disease pathogenesis due to the close relations between lncRNAs and the …