sclink_norm: Pre-process data for scLink
In scLink: Inferring Functional Gene Co-Expression Networks from Single Cell Data

Pre-process data for scLink

sclink_norm(
  count,
  scale.factor = 1e+06,
  filter.genes = FALSE,
  gene.names = NULL,
  n = 500
)

`count`	A full gene count matrix with rows representing cells and columns representing genes. Gene names are given as column names.
`scale.factor`	A number specifying the sclae factor used for library size normalization. Defaults to 1e6.
`filter.genes`	A Boolean specifying whether scLink should select genes based on mean expression. When set to `FALSE`, users need to speicfy a set of genes to be used for network construction with `gene.names`. When set to `TRUE`, scLink will select genes based on their mean expression, and users need to specify the number of genes to be selected with `n`.
`gene.names`	A character vector specifying the genes used for network construction. Only needed when `filter.genes = FALSE`.
`n`	An integer specifying the number of genes to be selected by scLink (defaults to 500). Only needed when `filter.genes = TRUE`.

A transformed and normalized gene expression matrix that can be used for correlation calculation and network construction.

1 2	count = readRDS(system.file("extdata", "example.rds", package = "scLink")) count.norm = sclink_norm(count, scale.factor = 1e6, filter.genes = TRUE, n = 500)