`R/custom_deconvolution_methods.R`

`deconvolute_base_custom.Rd`

Deconvolute using BASE and a custom signature matrix

```
deconvolute_base_custom(
gene_expression_matrix,
signature_matrix,
n_permutations = 100,
log10 = TRUE
)
```

- gene_expression_matrix
a m x n matrix with m genes and n samples. Data should be TPM normalized and log10 scaled.

- signature_matrix
a m x l matrix with m genes and l cell types. Data should be non normalized, as the normalization wil be done in the construction of the compendium (internal structure)

- n_permutations
the number of permutations of each sample expression to generate. These are used to normalize the results.

- log10
logical. if TRUE, log10 transforms the expression matrix.