estimate_nuisance.default: Estimate nuisance values for matrix or sparse matrices.

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

Estimate nuisance values for matrix or sparse matrices.

Description

Estimate nuisance values for matrix or sparse matrices.

Usage

## Default S3 method:
estimate_nuisance(
  input_obj,
  mean_mat,
  library_mat,
  bool_use_log = F,
  min_val = 1e-04,
  verbose = 0,
  ...
)

Arguments

input_obj	Dataset (either matrix or dgCMatrix) where the n rows represent cells and p columns represent genes. The rows and columns of the matrix should be named.
mean_mat	A matrix of n rows and p columns that represents the expected value of each entry.
library_mat	A matrix of n rows and p columns that represents the library size of each entry.
bool_use_log	Boolean if the nuisance (i.e., over-dispersion) parameter should be estimated on the log scale, default is FALSE.
min_val	Minimum value of the nuisance parameter.
verbose	Integer.
...	Additional parameters.

Value

Vector of length p

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