Description Usage Arguments Value Examples
Set the discretized expression attribute Uses the discretize_exprs function of the FCBF package
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | discretize(
fc,
number_of_bins = 4,
method = "varying_width",
alpha = 1,
centers = 3,
min_max_cutoff = 0.25,
show_pb = TRUE
)
## S4 method for signature 'fcoex'
discretize(
fc,
number_of_bins = 4,
method = "varying_width",
alpha = 1,
centers = 3,
min_max_cutoff = 0.25,
show_pb = TRUE
)
|
fc |
Object of class |
number_of_bins |
Number of equal-width bins for discretization. Note: it is a binary discretization, with the first bin becoming one class ('low') and the other bins, another class ('high').#' Defaults to 4. |
method |
Method applied to all genes for discretization. Methods available: "varying_width" (Binarization modulated by the number_of_bins param), "mean" (Split in ON/OFF by each gene mean expression), "median" (Split in ON/OFF by each gene median expression), "mean_sd"(Split in low/medium/high by each assigning "medium" to the interval between mean +- standard_deviation. Modulated by the alpha param, which enlarges (>1) or shrinks (<1) the "medium" interval. ), ), "kmeans"(Split in different groups by the kmeans algorithm. As many groups as specified by the centers param) and "min_max_%" (Similat to the "varying width", a binarization threshold in a "GMM" (A Gaussian Mixture Model as implemented by the package mclust, trying to fit 2:5 Gaussians). Default is "varying_width" |
alpha |
Modulator for the "mean_sd" method.Enlarges (>1) or shrinks (<1) the "medium" interval. Defaults to 1. |
centers |
Modulator for the "kmeans" method. Defaults to 3. |
min_max_cutoff |
<- Modulator for the "min_max_%" method. Defaults to 0.25. |
show_pb |
Enables a progress bar for the discretization. Defaults to TRUE. |
A data frame with the discretized features in the same order as previously
1 2 3 4 5 6 | library(SingleCellExperiment)
data("mini_pbmc3k")
targets <- colData(mini_pbmc3k)$clusters
exprs <- as.data.frame(assay(mini_pbmc3k, "logcounts"))
fc <- new_fcoex(exprs, targets)
fc <- discretize(fc)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.