AIMC Topic: MicroRNAs

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Identification of microRNA precursors using reduced and hybrid features.

Molecular bioSystems
MicroRNAs (also called miRNAs) are a group of short non-coding RNA molecules. They play a vital role in the gene expression of transcriptional and post-transcriptional processes. However, abnormality of their expression has been observed in cancer, h...

FARNA: knowledgebase of inferred functions of non-coding RNA transcripts.

Nucleic acids research
Non-coding RNA (ncRNA) genes play a major role in control of heterogeneous cellular behavior. Yet, their functions are largely uncharacterized. Current available databases lack in-depth information of ncRNA functions across spectrum of various cells/...

miRNAmeConverter: an R/bioconductor package for translating mature miRNA names to different miRBase versions.

Bioinformatics (Oxford, England)
SUMMARY: The miRBase database is the central and official repository for miRNAs and the current release is miRBase version 21.0. Name changes in different miRBase releases cause inconsistencies in miRNA names from version to version. When working wit...

Machine Learning Techniques in Exploring MicroRNA Gene Discovery, Targets, and Functions.

Methods in molecular biology (Clifton, N.J.)
In recent years, the role of miRNAs in post-transcriptional gene regulation has provided new insights into the understanding of several types of cancers and neurological disorders. Although miRNA research has gathered great momentum since its discove...

Logical Reasoning (Inferencing) on MicroRNA Data.

Methods in molecular biology (Clifton, N.J.)
Logical reasoning played an important role in artificial intelligence. Applying logical reasoning on microRNA data brings intelligence into data analysis. Here, we provide basic introduction about logic (especially propositional logic) and automated ...

Computational miRNomics.

Journal of integrative bioinformatics
Editorial The term MicroRNA or its contraction miRNA currently appears in 21,215 titles of abstracts, published between 1997 and now, available on Pubmed (2016-21-22:12:59 EET). 4,108 of these were published in 2016 alone which signifies the importan...

[MiR-142-3p inhibits lipopolysaccharide-induced inflammatory response in human periodontal ligament cells through targeting IRAK1].

Shanghai kou qiang yi xue = Shanghai journal of stomatology
PURPOSE: To investigate the effects of miR-142-3p overexpression on secretion of inflammatory factors in human periodontal ligament cells (hPDLCs) induced by lipopolysaccharide (LPS) and its underlying mechanism.

Genome wide predictions of miRNA regulation by transcription factors.

Bioinformatics (Oxford, England)
MOTIVATION: Reconstructing regulatory networks from expression and interaction data is a major goal of systems biology. While much work has focused on trying to experimentally and computationally determine the set of transcription-factors (TFs) and m...

[MicroRNA Target Prediction Based on Support Vector Machine Ensemble Classification Algorithm of Under-sampling Technique].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
Considering the low accuracy of prediction in the positive samples and poor overall classification effects caused by unbalanced sample data of MicroRNA (miRNA) target, we proposes a support vector machine (SVM)-integration of under-sampling and weigh...