<p>For each miRNA, we extract top 200 target genes ranked by each method for validation.</p
MicroRNAs (miRNAs) are small RNA molecules composed of 19–22 nt, which play important regulatory rol...
<p>(A) Venn diagram showing the number of mRNAs that do not overlap, or are shared between each set ...
<p>Identification of significant miRNA-mRNA pairs using association measures based on unmatched and ...
<p>The top 100, 200, 300, and 400 interactions for each miRNA are selected for the validation in the...
miRNAs are small RNA molecules (9 22nt) that interact with their corresponding target mRNAs inhibiti...
<p>. (A) Method employed for miRNA:mRNA correlation analysis and miRNA potential target enrichment a...
<p>For each miRNA, we extract top 100, 200, 300 and 400 target genes for the analysis.</p
<p>We applied GenMIR++, LASSO, PCC, and RACER to score miRNA-mRNA interactions using the AML data. <...
<p>Four databases were used for the prediction of target genes: TargetScan, miRanda, CLIP-Seq, and m...
Motivation: Algorithms predicting microRNA (miR)-mRNA interactions generate high numbers of possible...
<p>(A) Venn diagram depicting the number of mRNA targets of six significantly upregulated miRNAs, mi...
<p>(A) The number of predicted miRNA–mRNA pairs by two algorithms. (B) miRNA–mRNA pair distribution ...
<p>A. Venn diagram showing distribution of miRNA, mRNA, and proteins enriched in EVs, and their inte...
<p>The links between microRNAs and their target mRNAs are taken from public databases. MicroRNAs and...
microRNAs (miRNAs) are short regulatory RNAs that are involved in several diseases, including cancer...
MicroRNAs (miRNAs) are small RNA molecules composed of 19–22 nt, which play important regulatory rol...
<p>(A) Venn diagram showing the number of mRNAs that do not overlap, or are shared between each set ...
<p>Identification of significant miRNA-mRNA pairs using association measures based on unmatched and ...
<p>The top 100, 200, 300, and 400 interactions for each miRNA are selected for the validation in the...
miRNAs are small RNA molecules (9 22nt) that interact with their corresponding target mRNAs inhibiti...
<p>. (A) Method employed for miRNA:mRNA correlation analysis and miRNA potential target enrichment a...
<p>For each miRNA, we extract top 100, 200, 300 and 400 target genes for the analysis.</p
<p>We applied GenMIR++, LASSO, PCC, and RACER to score miRNA-mRNA interactions using the AML data. <...
<p>Four databases were used for the prediction of target genes: TargetScan, miRanda, CLIP-Seq, and m...
Motivation: Algorithms predicting microRNA (miR)-mRNA interactions generate high numbers of possible...
<p>(A) Venn diagram depicting the number of mRNA targets of six significantly upregulated miRNAs, mi...
<p>(A) The number of predicted miRNA–mRNA pairs by two algorithms. (B) miRNA–mRNA pair distribution ...
<p>A. Venn diagram showing distribution of miRNA, mRNA, and proteins enriched in EVs, and their inte...
<p>The links between microRNAs and their target mRNAs are taken from public databases. MicroRNAs and...
microRNAs (miRNAs) are short regulatory RNAs that are involved in several diseases, including cancer...
MicroRNAs (miRNAs) are small RNA molecules composed of 19–22 nt, which play important regulatory rol...
<p>(A) Venn diagram showing the number of mRNAs that do not overlap, or are shared between each set ...
<p>Identification of significant miRNA-mRNA pairs using association measures based on unmatched and ...
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