AIMC Topic: RNA, Long Noncoding

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Ensemble Deep Learning Based on Multi-level Information Enhancement and Greedy Fuzzy Decision for Plant miRNA-lncRNA Interaction Prediction.

Interdisciplinary sciences, computational life sciences Apr 26, 2021
MicroRNAs (miRNAs) and long non-coding RNAs (lncRNAs) are both non-coding RNAs (ncRNAs) and their interactions play important roles in biological processes. Computational methods, such as machine learning and various bioinformatics tools, can predict...
Machine Learning Deep Learning Computational Biology RNA, Long Noncoding MicroRNAs
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IPCARF: improving lncRNA-disease association prediction using incremental principal component analysis feature selection and a random forest classifier.

BMC bioinformatics Apr 1, 2021
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 up the identification of potential biomarkers for disease diagnoses, treat...
Humans Computational Biology RNA, Long Noncoding Principal Component Analysis Machine Learning Algorithms
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Machine Learning Reduced Gene/Non-Coding RNA Features That Classify Schizophrenia Patients Accurately and Highlight Insightful Gene Clusters.

International journal of molecular sciences Mar 25, 2021
RNA-seq has been a powerful method to detect the differentially expressed genes/long non-coding RNAs (lncRNAs) in schizophrenia (SCZ) patients; however, due to overfitting problems differentially expressed targets (DETs) cannot be used properly as bi...
Humans Biomarkers Transcriptome Prefrontal Cortex Machine Learning Algorithms Factor Analysis, Statistical Schizophrenia RNA, Untranslated Multigene Family Computational Biology RNA, Messenger RNA, Long Noncoding Diagnosis, Computer-Assisted RNA-Seq
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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...
RNA, Long Noncoding Protein Isoforms Mice Computational Biology Animals Deep Learning Neural Networks, Computer
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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...
Disease Models, Animal Mice, Inbred C57BL Blotting, Western Myocardial Infarction RNA, Long Noncoding Echocardiography Mice RNA, Messenger Animals Male Hypoxia Gene Ontology
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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...
Models, Theoretical RNA, Long Noncoding DNA Deep Learning Area Under Curve User-Computer Interface ROC Curve
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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 Humans Autism Spectrum Disorder
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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...
RNA, Long Noncoding Databases, Nucleic Acid Computational Biology MicroRNAs Humans Deep Learning
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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...
Knowledge Bases Phylogeny Molecular Sequence Annotation Organ Specificity Quantitative Trait Loci RNA, Long Noncoding Humans
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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...
Humans Computational Biology RNA-Binding Proteins RNA, Long Noncoding Machine Learning Gene Regulatory Networks
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