<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>(A) Each box corresponds to a type expression profile and only colored profiles are statistically...
miRHiC was proposed to infer the perturbed miRNA regulatory networks in cancer by incorporating the ...
<p>For each miRNA, we extract top 200 target genes ranked by each method for validation.</p
<div><p>Background</p><p>microRNAs (miRNAs) are short regulatory RNAs that are involved in several d...
Gene ontology enrichment analysis of miRNA targets in different degree TBI groups (Top 15 processes ...
Background microRNAs (miRNAs) are short regulatory RNAs that are involved in several diseases, inclu...
<p>The known target gene list was exported from miRTarBase. The clustering analysis was performed by...
<p>A) Principle component analysis and B) hierarchical clustering of the log<sub>2</sub> transformed...
Statistical methods for enrichment analysis are important tools to extract biological information fr...
<p>The enrichment of the top 10 miRNA seed sequences within the 5,795 clusters.</p
The past two decades of microRNA (miRNA) research has solidified the role of these small non-coding ...
<p>A: GSEA (Gene Set Enrichment Analysis) of predicted miRNA targets in 745A#44 cells treated for tw...
AbstractMicroRNAs are a class of small endogenous noncoding RNAs which play important regulatory rol...
<p>In the first step, the differentially expressed genes were clustered as hierarchical gene co-expr...
<p>We applied GenMIR++, LASSO, PCC, and RACER to score miRNA-mRNA interactions using the AML data. <...
<p>(A) Each box corresponds to a type expression profile and only colored profiles are statistically...
miRHiC was proposed to infer the perturbed miRNA regulatory networks in cancer by incorporating the ...
<p>For each miRNA, we extract top 200 target genes ranked by each method for validation.</p
<div><p>Background</p><p>microRNAs (miRNAs) are short regulatory RNAs that are involved in several d...
Gene ontology enrichment analysis of miRNA targets in different degree TBI groups (Top 15 processes ...
Background microRNAs (miRNAs) are short regulatory RNAs that are involved in several diseases, inclu...
<p>The known target gene list was exported from miRTarBase. The clustering analysis was performed by...
<p>A) Principle component analysis and B) hierarchical clustering of the log<sub>2</sub> transformed...
Statistical methods for enrichment analysis are important tools to extract biological information fr...
<p>The enrichment of the top 10 miRNA seed sequences within the 5,795 clusters.</p
The past two decades of microRNA (miRNA) research has solidified the role of these small non-coding ...
<p>A: GSEA (Gene Set Enrichment Analysis) of predicted miRNA targets in 745A#44 cells treated for tw...
AbstractMicroRNAs are a class of small endogenous noncoding RNAs which play important regulatory rol...
<p>In the first step, the differentially expressed genes were clustered as hierarchical gene co-expr...
<p>We applied GenMIR++, LASSO, PCC, and RACER to score miRNA-mRNA interactions using the AML data. <...
<p>(A) Each box corresponds to a type expression profile and only colored profiles are statistically...
miRHiC was proposed to infer the perturbed miRNA regulatory networks in cancer by incorporating the ...
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