simple_dorothea | R Documentation |
dorothea: https://github.com/saezlab/dorothea appears to provide experimentally verified mappings from genes->transcription factors as well as a set of functions which allow one to pass it an expressionset/matrix of counts(log scale) and get back scores by tf. This function is an attempt to smooth it out and prod it for usability.
simple_dorothea(
expt,
gene_column = "ensembl_gene_id",
hgnc_column = "hgnc_symbol",
transform = "log2",
conf = c("A", "B", "C"),
dorothea_options = NULL,
lfc = 1,
p = 0.05,
species = "hsapiens"
)
expt |
Expressionset |
gene_column |
Column in fData containing the gene IDs. |
hgnc_column |
fData column containing the HGNC symbols as used by dorothea/viper |
transform |
Explicitly set the scale to log2 (TODO: improve this) |
conf |
Vector of confidence scores to filter the data. |
dorothea_options |
Optional configuration list. |
lfc |
Fold-change cutoff. |
p |
P-value cutoff. |
species |
Either human or mouse. |
list containing some information from dorothea and limma.
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