HSC_population_plot {ISAnalytics} | R Documentation

## Plot of the estimated HSC population size for each patient.

### Description

Plot of the estimated HSC population size for each patient.

### Usage

    HSC_population_plot(
      estimates,
      project_name,
      timepoints = "Consecutive",
      models = "Mth Chao (LB)"
    )

### Arguments

`estimates` | The estimates data frame, obtained via `HSC_population_size_estimate`
`project_name` | The project name, will be included in the plot title
`timepoints` | Which time points to plot? One between "All", "Stable" and "Consecutive"
`models` | Name of the models to plot (as they appear in the column of the estimates)

### Value

A plot

### See Also

Other Plotting functions: `CIS_volcano_plot()`, `circos_genomic_density()`, `integration_alluvial_plot()`, `sharing_heatmap()`, `sharing_venn()`, `top_abund_tableGrob()`

### Examples

    data("integration_matrices", package = "ISAnalytics")
    data("association_file", package = "ISAnalytics")
    aggreg <- aggregate_values_by_key(
        x = integration_matrices,
        association_file = association_file,
        value_cols = c("seqCount", "fragmentEstimate")
    )
    aggreg_meta <- aggregate_metadata(
        association_file = association_file
    )
    estimate <- HSC_population_size_estimate(
        x = aggreg,
        metadata = aggreg_meta,
        stable_timepoints = c(90, 180, 360),
        cell_type = "Other"
    )
    p <- HSC_population_plot(estimate, "PJ01")
    p

[Package ISAnalytics version 1.4.3 Index]