AIMC Topic: MicroRNAs

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Printing 2-dimentional droplet array for single-cell reverse transcription quantitative PCR assay with a microfluidic robot.

Scientific reports
This paper describes a nanoliter droplet array-based single-cell reverse transcription quantitative PCR (RT-qPCR) assay method for quantifying gene expression in individual cells. By sequentially printing nanoliter-scale droplets on microchip using a...

miRBoost: boosting support vector machines for microRNA precursor classification.

RNA (New York, N.Y.)
Identification of microRNAs (miRNAs) is an important step toward understanding post-transcriptional gene regulation and miRNA-related pathology. Difficulties in identifying miRNAs through experimental techniques combined with the huge amount of data ...

Identifying microRNAs involved in cancer pathway using support vector machines.

Computational biology and chemistry
Since Ambros' discovery of small non-protein coding RNAs in the early 1990s, the past two decades have seen an upsurge in the number of reports of predicted microRNAs (miR), which have been implicated in various functions. The correlation of miRs wit...

ViralmiR: a support-vector-machine-based method for predicting viral microRNA precursors.

BMC bioinformatics
BACKGROUND: microRNAs (miRNAs) play a vital role in development, oncogenesis, and apoptosis by binding to mRNAs to regulate the posttranscriptional level of coding genes in mammals, plants, and insects. Recent studies have demonstrated that the expre...

imDC: an ensemble learning method for imbalanced classification with miRNA data.

Genetics and molecular research : GMR
Imbalances typically exist in bioinformatics and are also common in other areas. A drawback of traditional machine learning methods is the relatively little attention given to small sample classification. Thus, we developed imDC, which uses an ensemb...

Deciphering the metabolic-epigenetic-immune crosstalk in Epstein-Barr virus-positive nasopharyngeal carcinoma: mechanisms and novel therapeutic frontiers.

International immunopharmacology
Epstein-Barr Virus (EBV) is the first tumor virus discovered in humans, which is closely related to the occurrence of a variety of malignant tumors, especially Nasopharyngeal Carcinoma (NPC). Epstein-Barr Virus (EBV)-associated NPC accounts for appro...

Machine learning and explainable artificial intelligence reveals the MicroRNAs associated with survival of head and neck squamous cell carcinoma patients.

Computational biology and chemistry
Dysregulated microRNAs (miRNAs) play a significant role in cancer development and metastasis. In literature, miRNAs have been used for the survival prediction of different types of cancers using AI. Although AI is useful for diagnosis and prognosis p...

Machine learning approaches for predicting the small molecule-miRNA associations: a comprehensive review.

Molecular diversity
MicroRNAs (miRNAs) are evolutionarily conserved small regulatory elements that are ubiquitous in cells and are found to be abnormally expressed during the onset and progression of several human diseases. miRNAs are increasingly recognized as potentia...

Deciphering the Regulatory Networks of the Migrasome-Associated Cell Subpopulation in Heterotopic Ossification via Multi-Omics Analysis.

FASEB journal : official publication of the Federation of American Societies for Experimental Biology
Heterotopic ossification (HO) is a pathological process where bone forms in extraskeletal tissues, often occurring as a complication of tissue repair following injury. This condition can lead to movement limitations, pain, and functional impairment. ...