| 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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