Man pages for bgmm
Gaussian Mixture Modeling Algorithms and the Belief-Based Mixture Modeling
| bgmm-package | Belief-Based Gaussian Mixture Modeling |
| CellCycle | Data for clustering of 384 cell cycle genes into five... |
| chooseModels | Selecting a subset of fitted models |
| crossval | k-fold cross-validation for the specified model |
| DEprobs | Signed probabilities of differential expression |
| genotypes | Fluorescence signals corresponding to a given allele for 333... |
| getModelStructure | Model structure |
| init.model.params | Initiation of model parameters |
| miRNA | miRNA transfection data for miR1 and miR124 target genes |
| mModel | Fitting Gaussian Mixture Model |
| mModelList | Fitting Gaussian mixture model or collection of models |
| plotGIC | Plotting GIC scores |
| plot.mModel | Plotting a Graphical Visualization of a Gaussian Model or a... |
| plot.mModelList | Plotting a graphical visualization of a model or a list of... |
| predict.mModel | Predictions for fitted Gaussian component model |
| simulateData | Dataset generation |
| Ste12 | Ste12 knockout data under pheromone treatment versus wild... |
| tools | Set of supplementary functions for bgmm package |
