get_variable_genes_for_integrative_data_by_fitting_GLM_model: Identified variable genes for the integrative samples. The...

In supatt-lab/SingCellaR: SingCellaR: an integrative analysis tool for single-cell RNA sequencing (scRNA-seq) data

Identified variable genes for the integrative samples. The gene list is combined from individual sample.

Description

Identified variable genes for the integrative samples. The gene list is combined from individual sample.

Usage

get_variable_genes_for_integrative_data_by_fitting_GLM_model(
  object,
  mean_expr_cutoff = 0.1,
  disp_zscore_cutoff = 0.1,
  quantile_genes_expr_for_fitting = 0.2,
  quantile_genes_cv2_for_fitting = 0.8
)

Arguments

object	The SingCellaR object.
mean_expr_cutoff	The mean expression cutoff. Default 0.1
disp_zscore_cutoff	The dispersion of z-score cutoff. Default 0.1
quantile_genes_expr_for_fitting	The quantile gene expression used for fitting the model. Default 0.2
quantile_genes_cv2_for_fitting	The quantile coefficient of variation used for fitting the model. Default 0.8

supatt-lab/SingCellaR documentation built on Aug. 24, 2023, 5:49 p.m.