| data.benchmark | MiRNA Sequencing Benchmark Data | 
| data.group | Sample Labels of the test and benchmark data | 
| data.miR.info | MiRNA Information | 
| data.simulation | Simulation Plan | 
| data.test | MiRNA Sequencing Test Data | 
| DE.edgeR | Differential Expression Analysis Using EdgeR | 
| DE.statistics | Statistics for DEA Results Based Golden Standards | 
| DE.voom | Differential Expression Analysis Using Voom-limma Pipeline | 
| fig.CAT | Concordance At The Top Plot | 
| fig.dendrogram | Dendrogram for clustering p-values | 
| fig.FDR_FNR | Selection of normalization methods based on golden standards... | 
| fig.FDR_FNR.boxplot | Boxplot of FDR and FNR for Simulated data | 
| fig.RLE | Relative Log Expression Plot | 
| fig.venn | Venn diagram for p-values | 
| fig.volcano | Volcano Figure | 
| full.pipeline | Full pipeline function | 
| norm.DESeq | Normalization By DESeq (DESeq) | 
| norm.med | Normalization By Median (Med) | 
| norm.PoissonSeq | Normalization By PoissonSeq (PoissonSeq) | 
| norm.QN | Normalization By Quantile Normalization (QN) | 
| norm.RUVg | Normalization By Remove Unwanted Variation Using Control... | 
| norm.RUVr | Normalization By Remove Unwanted Variation Using Residuals... | 
| norm.RUVs | Normalization By Remove Unwanted Variation Using Replicate... | 
| norm.SVA | Normalization By Surrogate Variable Analysis for Sequencing... | 
| norm.TC | Normalization By Total Count (TC) | 
| norm.TMM | Normalization By Trimmed Mean of M-values (TMM) | 
| norm.UQ | Normalization By Upper Quantile (UQ) | 
| pip.norm | Normalization for RNASeq Data | 
| pip.norm.DE | Pipeline of Differential Expression Analysis for RNASeq Data | 
| pip.simulated.data | Full normalization assessment for simulated data | 
| precision.seq | Full normalization assessment for given normalized test data | 
| simulated.data | Simulated Data | 
| simulation.algorithm | The Algorithm for Obtaining the Simulation Plan This... | 
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