Predicting the potential human lncRNA–miRNA interactions based on graph convolution network with conditional random field
Long non-coding RNA (lncRNA) and microRNA (miRNA) are two typical types of non-coding
RNAs (ncRNAs), their interaction plays an important regulatory role in many biological …
RNAs (ncRNAs), their interaction plays an important regulatory role in many biological …
Mitigating off‐target effects of small RNAs: conventional approaches, network theory and artificial intelligence
Three types of highly promising small RNA therapeutics, namely, small interfering RNAs
(siRNAs), microRNAs (miRNAs) and the RNA subtype of antisense oligonucleotides (ASOs) …
(siRNAs), microRNAs (miRNAs) and the RNA subtype of antisense oligonucleotides (ASOs) …
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] 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 task-specific encoding algorithm for RNAs and RNA-associated interactions based on convolutional autoencoder
RNAs play essential roles in diverse physiological and pathological processes by interacting
with other molecules (RNA/protein/compound), and various computational methods are …
with other molecules (RNA/protein/compound), and various computational methods are …
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 …
Multi-task prediction-based graph contrastive learning for inferring the relationship among lncRNAs, miRNAs and diseases
Motivation Identifying the relationships among long non-coding RNAs (lncRNAs),
microRNAs (miRNAs) and diseases is highly valuable for diagnosing, preventing, treating …
microRNAs (miRNAs) and diseases is highly valuable for diagnosing, preventing, treating …
DeepLncPro: an interpretable convolutional neural network model for identifying long non-coding RNA promoters
Long non-coding RNA (lncRNA) plays important roles in a series of biological processes.
The transcription of lncRNA is regulated by its promoter. Hence, accurate identification of …
The transcription of lncRNA is regulated by its promoter. Hence, accurate identification of …
Differential microRNA expression, microRNA arm switching, and microRNA: long noncoding RNA interaction in response to salinity stress in soybean
Background Soybean is a major legume crop with high nutritional and environmental values
suitable for sustainable agriculture. Noncoding RNAs (ncRNAs), including microRNAs …
suitable for sustainable agriculture. Noncoding RNAs (ncRNAs), including microRNAs …
Long non-coding RNAs and microRNAs as crucial regulators in cardio-oncology
Cancer is one of the leading causes of morbidity and mortality worldwide. Significant
improvements in the modern era of anticancer therapeutic strategies have increased the …
improvements in the modern era of anticancer therapeutic strategies have increased the …