compute_test_statistic.default: Compute test statistics for matrices

In linnykos/eSVD2: eSVD2 for performing the eSVD-DE for cohort-wide differential expression analysis

Compute test statistics for matrices

Description

Compute test statistics for matrices

Usage

## Default S3 method:
compute_test_statistic(
  input_obj,
  posterior_var_mat,
  case_individuals,
  control_individuals,
  individual_vec,
  verbose = 0,
  ...
)

Arguments

input_obj	Posterior mean matrix (a matrix) where the n rows represent cells and p columns represent genes. The rows and columns of the matrix should be named.
posterior_var_mat	Posterior variance matrix (a matrix) where the n rows represent cells and p columns represent genes. The rows and columns of the matrix should be the same as those in input_obj.
case_individuals	Vector of strings representing the individuals in metadata[,covariate_individual] that are the case individuals.
control_individuals	Vector of strings representing the individuals in metadata[,covariate_individual] that are the control individuals.
individual_vec	Vector of strings of length n (i.e., the number of cells) that denote which cell originates from which individual.
verbose	Integer.
...	Additional parameters.

Value

A vector of test statistics of length ncol(input_obj)

linnykos/eSVD2 documentation built on July 17, 2024, 12:01 a.m.