AIMC Topic: RNA, Long Noncoding

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LDAPred: A Method Based on Information Flow Propagation and a Convolutional Neural Network for the Prediction of Disease-Associated lncRNAs.

International journal of molecular sciences Sep 10, 2019
Long non-coding RNAs (lncRNAs) play a crucial role in the pathogenesis and development of complex diseases. Predicting potential lncRNA-disease associations can improve our understanding of the molecular mechanisms of human diseases and help identify...
Neural Networks, Computer Algorithms Reproducibility of Results Humans Computational Biology MicroRNAs RNA, Long Noncoding Sensitivity and Specificity Neoplasms Genetic Predisposition to Disease
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CNNDLP: A Method Based on Convolutional Autoencoder and Convolutional Neural Network with Adjacent Edge Attention for Predicting lncRNA-Disease Associations.

International journal of molecular sciences Aug 30, 2019
It is well known that the unusual expression of long non-coding RNAs (lncRNAs) is closely related to the physiological and pathological processes of diseases. Therefore, inferring the potential lncRNA-disease associations are helpful for understandin...
Area Under Curve Neoplasms Humans ROC Curve Neural Networks, Computer RNA, Long Noncoding Algorithms
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LncRNA-Disease Associations Prediction Using Bipartite Local Model With Nearest Profile-Based Association Inferring.

IEEE journal of biomedical and health informatics Aug 28, 2019
There is much evidence that long non-coding RNA (lncRNA) is associated with many diseases. However, it is time-consuming and expensive to identify meaningful lncRNA-disease associations (LDAs) through medical or biological experiments. Therefore, inv...
Humans Neoplasms Genetic Predisposition to Disease Models, Statistical Computational Biology Supervised Machine Learning RNA, Long Noncoding
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Predicting lncRNA-disease associations using network topological similarity based on deep mining heterogeneous networks.

Mathematical biosciences Jul 16, 2019
A kind of noncoding RNA with length more than 200 nucleotides named long noncoding RNA (lncRNA) has gained considerable attention in recent decades. Many studies have confirmed that human genome contains many thousands of lncRNAs. LncRNAs play signif...
Humans Neoplasms Deep Learning RNA, Long Noncoding Disease Susceptibility Beckwith-Wiedemann Syndrome Dementia Computational Biology MicroRNAs
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Kinetics of -induced gene silencing can be predicted from combinations of epigenetic and genomic features.

Genome research Jun 7, 2019
To initiate X-Chromosome inactivation (XCI), the long noncoding RNA mediates chromosome-wide gene silencing of one X Chromosome in female mammals to equalize gene dosage between the sexes. The efficiency of gene silencing is highly variable across g...
Gene Silencing Genes, X-Linked X Chromosome Inactivation Models, Genetic Cell Line RNA, Long Noncoding Kinetics Genome Embryonic Stem Cells Animals Mice Epigenesis, Genetic Machine Learning Female
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Predicting miRNA-lncRNA interactions and recognizing their regulatory roles in stress response of plants.

Mathematical biosciences Apr 26, 2019
It has been found that each non-coding RNA (ncRNA) can act not only through its target gene, but also interact with each other to act on biological traits, and this interaction is more common. Many studies focus mainly on the analysis of microRNA(miR...
Gene Regulatory Networks RNA, Messenger Models, Genetic Support Vector Machine MicroRNAs RNA, Long Noncoding Stress, Physiological Arabidopsis RNA, Plant
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Prediction of Long Non-Coding RNAs Based on Deep Learning.

Genes Apr 3, 2019
With the rapid development of high-throughput sequencing technology, a large number of transcript sequences have been discovered, and how to identify long non-coding RNAs (lncRNAs) from transcripts is a challenging task. The identification and inclus...
Humans Genetic Predisposition to Disease Computational Biology Models, Genetic Algorithms RNA, Messenger RNA, Long Noncoding Deep Learning High-Throughput Nucleotide Sequencing
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TADKB: Family classification and a knowledge base of topologically associating domains.

BMC genomics Mar 14, 2019
BACKGROUND: Topologically associating domains (TADs) are considered the structural and functional units of the genome. However, there is a lack of an integrated resource for TADs in the literature where researchers can obtain family classifications a...
Knowledge Bases Multigene Family Gene Expression Regulation Humans Mice Genome Algorithms Genomics Chromatin Assembly and Disassembly Animals RNA, Long Noncoding Chromosomes, Mammalian
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RPITER: A Hierarchical Deep Learning Framework for ncRNA⁻Protein Interaction Prediction.

International journal of molecular sciences Mar 1, 2019
Non-coding RNAs (ncRNAs) play crucial roles in multiple fundamental biological processes, such as post-transcriptional gene regulation, and are implicated in many complex human diseases. Mostly ncRNAs function by interacting with corresponding RNA-bi...
Sequence Analysis, RNA RNA, Long Noncoding Sequence Analysis, Protein Animals Protein Binding Humans Machine Learning Software
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CRlncRC: a machine learning-based method for cancer-related long noncoding RNA identification using integrated features.

BMC medical genomics Dec 31, 2018
BACKGROUND: Long noncoding RNAs (lncRNAs) are widely involved in the initiation and development of cancer. Although some computational methods have been proposed to identify cancer-related lncRNAs, there is still a demanding to improve the prediction...
Epigenesis, Genetic Algorithms RNA, Long Noncoding Humans Neoplasms RNA, Neoplasm Machine Learning Computational Biology
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