Long non-coding RNAs: mechanisms, experimental, and computational approaches in identification, characterization, and their biomarker potential in cancer
A Chowdhary, V Satagopam, R Schneider - Frontiers in Genetics, 2021 - frontiersin.org
Long non-coding RNAs are diverse class of non-coding RNA molecules> 200 base pairs of
length having various functions like gene regulation, dosage compensation, epigenetic …
length having various functions like gene regulation, dosage compensation, epigenetic …
[HTML][HTML] Data resources and computational methods for lncRNA-disease association prediction
N Sheng, L Huang, Y Lu, H Wang, L Yang… - Computers in Biology …, 2023 - Elsevier
Increasing interest has been attracted in deciphering the potential disease pathogenesis
through lncRNA-disease association (LDA) prediction, regarding to the diverse functional …
through lncRNA-disease association (LDA) prediction, regarding to the diverse functional …
A representation learning model based on variational inference and graph autoencoder for predicting lncRNA-disease associations
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 …
to plenty of human diseases. Therefore, it is crucial to predict potential lncRNA-disease …
Exploring associations of non-coding RNAs in human diseases via three-matrix factorization with hypergraph-regular terms on center kernel alignment
Relationship of accurate associations between non-coding RNAs and diseases could be of
great help in the treatment of human biomedical research. However, the traditional …
great help in the treatment of human biomedical research. However, the traditional …
SDLDA: lncRNA-disease association prediction based on singular value decomposition and deep learning
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 …
only play an important role in the regulation of various biological processes but also are the …
Stabilization of lncRNA GAS5 by a small molecule and its implications in diabetic adipocytes
Long noncoding RNA (lncRNA) are regulatory RNAs> 200 nt. We previously showed that
lncRNA GAS5 decreases significantly in serum of type 2 diabetes mellitus (T2DM) patients …
lncRNA GAS5 decreases significantly in serum of type 2 diabetes mellitus (T2DM) patients …
IPCARF: improving lncRNA-disease association prediction using incremental principal component analysis feature selection and a random forest classifier
R Zhu, Y Wang, JX Liu, LY Dai - BMC bioinformatics, 2021 - Springer
Background Identifying lncRNA-disease associations not only helps to better comprehend
the underlying mechanisms of various human diseases at the lncRNA level but also speeds …
the underlying mechanisms of various human diseases at the lncRNA level but also speeds …
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 …
RNA (lncRNA) is associated with various human diseases. Accurately identifying disease …
Attentional multi-level representation encoding based on convolutional and variance autoencoders for lncRNA–disease association prediction
As the abnormalities of long non-coding RNAs (lncRNAs) are closely related to various
human diseases, identifying disease-related lncRNAs is important for understanding the …
human diseases, identifying disease-related lncRNAs is important for understanding the …
DMFLDA: a deep learning framework for predicting lncRNA–disease associations
A growing amount of evidence suggests that long non-coding RNAs (lncRNAs) play
important roles in the regulation of biological processes in many human diseases. However …
important roles in the regulation of biological processes in many human diseases. However …