[HTML][HTML] GKLOMLI: a link prediction model for inferring miRNA–lncRNA interactions by using Gaussian kernel-based method on network profile and linear optimization …
Background The limited knowledge of miRNA–lncRNA interactions is considered as an
obstruction of revealing the regulatory mechanism. Accumulating evidence on Human …
obstruction of revealing the regulatory mechanism. Accumulating evidence on Human …
Using network distance analysis to predict lncRNA–miRNA interactions
LncRNA–miRNA interactions contribute to the regulation of therapeutic targets and
diagnostic biomarkers in multifarious human diseases. However, it remains difficult to …
diagnostic biomarkers in multifarious human diseases. However, it remains difficult to …
[HTML][HTML] Predicting lncRNA–miRNA interactions based on interactome network and graphlet interaction
In the development and treatment of many human diseases, the regulatory roles between
lncRNAs and miRNAs are important, but much remains unknown about them; moreover …
lncRNAs and miRNAs are important, but much remains unknown about them; moreover …
[HTML][HTML] Novel link prediction for large-scale miRNA-lncRNA interaction network in a bipartite graph
Background Current knowledge and data on miRNA-lncRNA interactions is still limited and
little effort has been made to predict target lncRNAs of miRNAs. Accumulating evidences …
little effort has been made to predict target lncRNAs of miRNAs. Accumulating evidences …
[HTML][HTML] LncRNA-miRNA interaction prediction through sequence-derived linear neighborhood propagation method with information combination
Background Researchers discover lncRNAs can act as decoys or sponges to regulate the
behavior of miRNAs. Identification of lncRNA-miRNA interactions helps to understand the …
behavior of miRNAs. Identification of lncRNA-miRNA interactions helps to understand the …
Constructing prediction models from expression profiles for large scale lncRNA–miRNA interaction profiling
Motivation The interaction of miRNA and lncRNA is known to be important for gene
regulations. However, not many computational approaches have been developed to …
regulations. However, not many computational approaches have been developed to …
LNRLMI: Linear neighbour representation for predicting lncRNA‐miRNA interactions
LncRNA and miRNA are key molecules in mechanism of competing endogenous RNAs
(ceRNA), and their interactions have been discovered with important roles in gene …
(ceRNA), and their interactions have been discovered with important roles in gene …
[HTML][HTML] Graph embedding ensemble methods based on the heterogeneous network for lncRNA-miRNA interaction prediction
Abstract Background Researchers discover LncRNA–miRNA regulatory paradigms
modulate gene expression patterns and drive major cellular processes. Identification of …
modulate gene expression patterns and drive major cellular processes. Identification of …
ncRNAInter: a novel strategy based on graph neural network to discover interactions between lncRNA and miRNA
In recent years, many studies have illustrated the significant role that non-coding RNA
(ncRNA) plays in biological activities, in which lncRNA, miRNA and especially their …
(ncRNA) plays in biological activities, in which lncRNA, miRNA and especially their …
[HTML][HTML] Predicting lncRNA-miRNA Interaction via Graph Convolution Auto-Encoder
The interaction of miRNA and lncRNA is known to be important for gene regulations.
However, the number of known lncRNA-miRNA interactions is still very limited and there are …
However, the number of known lncRNA-miRNA interactions is still very limited and there are …
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