Man pages for BioinfoMonzino/DaMiRseq
Data Mining for RNA-seq data: normalization, feature selection and classification
| DaMiR.Allplot | Quality assessment and visualization of expression data |
| DaMiR.Clustplot | Expression data clustering and heatmap |
| DaMiR.corrplot | Correlation Plot |
| DaMiR.EnsembleLearning | Build Classifier using 'Staking' Ensemble Learning strategy. |
| DaMiR.EnsembleLearning2cl | Build a Binary Classifier using 'Staking' Learning strategy. |
| DaMiR.EnsembleLearningNcl | Build a Multi-Class Classifier using 'Staking' Learning... |
| DaMiR.EnsL_Predict | Predict new samples class |
| DaMiR.EnsL_Test | Test Binary Classifiers |
| DaMiR.EnsL_Train | Train a Binary Classifier using 'Staking' Learning strategy. |
| DaMiR.FBest | Select best predictors to build Classification Model |
| DaMiR.FReduct | Remove highly correlated features, based on... |
| DaMiR.FSelect | Feature selection for classification |
| DaMiR.FSort | Order features by importance, using RReliefF filter |
| DaMiR.goldenDice | Generate a Number to Set Seed |
| DaMiR.iTSadjust | Batch correction of normalized Independent Test Set |
| DaMiR.iTSnorm | Normalization of Independent Test Set |
| DaMiR.makeSE | Import RNA-Seq count data and variables |
| DaMiR.MDSplot | Plot multidimentional scaling (MDS) |
| DaMiR.ModelSelect | Select the best classification model |
| DaMiR.normalization | Filter non Expressed and 'Hypervariant' features and Data... |
| DaMiR.sampleFilt | Filter Samples by Mean Correlation Distance Metric |
| DaMiR.SV | Identification of Surrogate Variables |
| DaMiR.SVadjust | Remove variable effects from expression data |
| DaMiR.transpose | Matrix transposition and replacement of '.' and '-' special... |
| data_min | Example gene-expression dataset for DaMiRseq package |
| data_norm | A dataset with a normalized matrix to test several DaMiRseq... |
| data_reduced | Example gene-expression dataset for DaMiRseq package |
| data_relief | Example ranking dataset for DaMiRseq package |
| df | Example gene-expression dataset for DaMiRseq package |
| SE | Example gene-expression dataset for DaMiRseq package |
| selected_features | Example gene-expression dataset for DaMiRseq package |
| SEtest_norm | A sample dataset with a normalized count matrix for... |
| sv | Example Surrogate Variables dataset for DaMiRseq package |
