helper function to check the inputs passed to marker detection function

Usage

check_valid_input(
  gene_mt,
  cluster_mt,
  sample_names,
  n_fold = 10,
  background = NULL
)

gene_mt: A matrix contains the transcript count in each grid. Each row refers to a grid, and each column refers to a gene. The column names must be specified and refer to the genes. This can be the output from the function get_vectors.
cluster_mt: A matrix contains the number of cells in a specific cluster in each grid. Each row refers to a grid, and each column refers to a cluster. The column names must be specified and refer to the clusters. Please do not assign integers as column names. This can be the output from the function get_vectors.
sample_names: A vector specifying the names for the samples.
n_fold: Optional. A positive number giving the number of folds used for cross validation. This parameter will pass to cv.glmnet to calculate a penalty term for every gene.
background: Optional. A matrix providing the background information. Each row refers to a grid, and each column refers to one category of background information. Number of rows must equal to the number of rows in gene_mt and cluster_mt. Can be obtained by only providing coordinates matrices cluster_info. to function get_vectors.

a list of two matrices with the following components