| infercnv-package | infercnv: Infer Copy Number Variation from Single-Cell RNA-Seq Data |
| add_to_seurat | add_to_seurat() |
| apply_median_filtering | apply_median_filtering |
| color.palette | Helper function allowing greater control over the steps in a color palette. |
| CreateInfercnvObject | CreateInfercnvObject |
| filterHighPNormals | filterHighPNormals: Filter the HMM identified CNV's by the CNV's posterior probability of belonging to a normal state. |
| HMM_states | infercnv object result of the processing of run() in the HMM example, to be used for other examples. |
| infercnv | The infercnv Class |
| infercnv-class | The infercnv Class |
| inferCNVBayesNet | inferCNVBayesNet: Run Bayesian Network Mixture Model To Obtain Posterior Probabilities For HMM Predicted States |
| infercnv_annots_example | Generated classification for 10 normal cells and 10 tumor cells. |
| infercnv_data_example | Generated SmartSeq2 expression data with 10 normal cells and 10 tumor cells. This is only to demonstrate how to use methods, not actual data to be used in an analysis. |
| infercnv_genes_example | Downsampled gene coordinates file from GrCh37 |
| infercnv_object_example | infercnv object result of the processing of run() in the example, to be used for other examples. |
| MCMC_inferCNV | MCMC_inferCNV class |
| MCMC_inferCNV-class | MCMC_inferCNV class |
| mcmc_obj | infercnv object result of the processing of inferCNVBayesNet in the example, to be used for other examples. |
| plot_cnv | Plot the matrix as a heatmap, with cells as rows and genes as columns, ordered according to chromosome |
| plot_per_group | plot_per_group |
| plot_subclusters | Plot a heatmap of the data in the infercnv object with the subclusters being displayed as annotations. |
| run | run() : Invokes a routine inferCNV analysis to Infer CNV changes given a matrix of RNASeq counts. |
| sample_object | sample_object |
| validate_infercnv_obj | validate_infercnv_obj() |
| _PACKAGE | infercnv: Infer Copy Number Variation from Single-Cell RNA-Seq Data |