AIMC Topic: RNA, Long Noncoding

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DeepLPI: a multimodal deep learning method for predicting the interactions between lncRNAs and protein isoforms.

BMC bioinformatics Jan 18, 2021
BACKGROUND: Long non-coding RNAs (lncRNAs) regulate diverse biological processes via interactions with proteins. Since the experimental methods to identify these interactions are expensive and time-consuming, many computational methods have been prop...
Neural Networks, Computer Computational Biology RNA, Long Noncoding Protein Isoforms Deep Learning Mice Animals
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Impact of chronic intermittent hypoxia on the long non-coding RNA and mRNA expression profiles in myocardial infarction.

Journal of cellular and molecular medicine Nov 20, 2020
Chronic intermittent hypoxia (CIH) is the primary feature of obstructive sleep apnoea (OSA), a crucial risk factor for cardiovascular diseases. Long non-coding RNAs (lncRNAs) in myocardial infarction (MI) pathogenesis have drawn considerable attentio...
Mice RNA, Messenger Disease Models, Animal Male Echocardiography Myocardial Infarction Hypoxia Gene Ontology RNA, Long Noncoding Blotting, Western Mice, Inbred C57BL Animals
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Deep learning based DNA:RNA triplex forming potential prediction.

BMC bioinformatics Nov 12, 2020
BACKGROUND: Long non-coding RNAs (lncRNAs) can exert functions via forming triplex with DNA. The current methods in predicting the triplex formation mainly rely on mathematic statistic according to the base paring rules. However, these methods have t...
Area Under Curve ROC Curve Deep Learning Models, Theoretical DNA RNA, Long Noncoding User-Computer Interface
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Prediction and prioritization of autism-associated long non-coding RNAs using gene expression and sequence features.

BMC bioinformatics Nov 7, 2020
BACKGROUND: Autism spectrum disorders (ASD) refer to a range of neurodevelopmental conditions, which are genetically complex and heterogeneous with most of the genetic risk factors also found in the unaffected general population. Although all the cur...
RNA, Long Noncoding Risk Brain Transcriptome Machine Learning Autism Spectrum Disorder Humans
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LMI-DForest: A deep forest model towards the prediction of lncRNA-miRNA interactions.

Computational biology and chemistry Oct 20, 2020
The interactions between miRNAs and long non-coding RNAs (lncRNAs) are subject to intensive recent studies due to its critical role in gene regulations. Computational prediction of lncRNA-miRNA interactions has become a popular alternative strategy t...
Humans RNA, Long Noncoding Computational Biology Databases, Nucleic Acid Deep Learning MicroRNAs
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lncRNAKB, a knowledgebase of tissue-specific functional annotation and trait association of long noncoding RNA.

Scientific data Oct 5, 2020
Long non-coding RNA Knowledgebase (lncRNAKB) is an integrated resource for exploring lncRNA biology in the context of tissue-specificity and disease association. A systematic integration of annotations from six independent databases resulted in 77,19...
Humans Quantitative Trait Loci Knowledge Bases Organ Specificity Phylogeny Molecular Sequence Annotation RNA, Long Noncoding
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Recent advances on the machine learning methods in predicting ncRNA-protein interactions.

Molecular genetics and genomics : MGG Oct 2, 2020
Recent transcriptomics and bioinformatics studies have shown that ncRNAs can affect chromosome structure and gene transcription, participate in the epigenetic regulation, and take part in diseases such as tumorigenesis. Biologists have found that mos...
Gene Regulatory Networks Computational Biology RNA, Long Noncoding RNA-Binding Proteins Humans Machine Learning
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LncLocation: Efficient Subcellular Location Prediction of Long Non-Coding RNA-Based Multi-Source Heterogeneous Feature Fusion.

International journal of molecular sciences Oct 1, 2020
Recent studies uncover that subcellular location of long non-coding RNAs (lncRNAs) can provide significant information on its function. Due to the lack of experimental data, the number of lncRNAs is very limited, experimentally verified subcellular l...
Eukaryotic Cells Cytoplasm Ribosomes Cell Nucleus Humans Gene Expression Regulation Datasets as Topic Animals Genome, Human RNA, Long Noncoding Base Sequence Software Computational Biology Terminology as Topic Benchmarking Exosomes Support Vector Machine Databases, Genetic
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LncMirNet: Predicting LncRNA-miRNA Interaction Based on Deep Learning of Ribonucleic Acid Sequences.

Molecules (Basel, Switzerland) Sep 23, 2020
Long non-coding RNA (LncRNA) and microRNA (miRNA) are both non-coding RNAs that play significant regulatory roles in many life processes. There is cumulating evidence showing that the interaction patterns between lncRNAs and miRNAs are highly related...
RNA, Long Noncoding Time Factors Deep Learning Computational Biology RNA, Messenger Sequence Analysis, RNA
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lncRNA_Mdeep: An Alignment-Free Predictor for Distinguishing Long Non-Coding RNAs from Protein-Coding Transcripts by Multimodal Deep Learning.

International journal of molecular sciences Jul 23, 2020
Long non-coding RNAs (lncRNAs) play crucial roles in diverse biological processes and human complex diseases. Distinguishing lncRNAs from protein-coding transcripts is a fundamental step for analyzing the lncRNA functional mechanism. However, the exp...
RNA, Long Noncoding Databases, Nucleic Acid Animals Deep Learning Humans Mice Software
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