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MicroRNAs

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miRiaD: A Text Mining Tool for Detecting Associations of microRNAs with Diseases.

Journal of biomedical semantics
BACKGROUND: MicroRNAs are increasingly being appreciated as critical players in human diseases, and questions concerning the role of microRNAs arise in many areas of biomedical research. There are several manually curated databases of microRNA-diseas...

Missing value imputation for microRNA expression data by using a GO-based similarity measure.

BMC bioinformatics
BACKGROUND: Missing values are commonly present in microarray data profiles. Instead of discarding genes or samples with incomplete expression level, missing values need to be properly imputed for accurate data analysis. The imputation methods can be...

MiRTDL: A Deep Learning Approach for miRNA Target Prediction.

IEEE/ACM transactions on computational biology and bioinformatics
MicroRNAs (miRNAs) regulate genes that are associated with various diseases. To better understand miRNAs, the miRNA regulatory mechanism needs to be investigated and the real targets identified. Here, we present miRTDL, a new miRNA target prediction ...

OP-Triplet-ELM: Identification of real and pseudo microRNA precursors using extreme learning machine with optimal features.

Journal of bioinformatics and computational biology
MicroRNAs (miRNAs) are a set of short (21-24 nt) non-coding RNAs that play significant regulatory roles in the cells. Triplet-SVM-classifier and MiPred (random forest, RF) can identify the real pre-miRNAs from other hairpin sequences with similar ste...

Identifying relevant group of miRNAs in cancer using fuzzy mutual information.

Medical & biological engineering & computing
MicroRNAs (miRNAs) act as a major biomarker of cancer. All miRNAs in human body are not equally important for cancer identification. We propose a methodology, called FMIMS, which automatically selects the most relevant miRNAs for a particular type of...

Prediction of MicroRNA-Disease Associations Based on Social Network Analysis Methods.

BioMed research international
MicroRNAs constitute an important class of noncoding, single-stranded, ~22 nucleotide long RNA molecules encoded by endogenous genes. They play an important role in regulating gene transcription and the regulation of normal development. MicroRNAs can...

A knowledge base for Vitis vinifera functional analysis.

BMC systems biology
BACKGROUND: Vitis vinifera (Grapevine) is the most important fruit species in the modern world. Wine and table grapes sales contribute significantly to the economy of major wine producing countries. The most relevant goals in wine production concern ...

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...