R/platjam-neuro.R
frequency_matrix2nmat.RdConvert frequency matrix to normalizedMatrix format
frequency_matrix2nmat(
mat,
target_frequency = NULL,
target_name = "target",
signal_name = "Frequency",
do_scale = TRUE,
scale_from = 0,
scale_to = 1,
scale_frequency = NULL,
apply_floor = TRUE,
verbose = FALSE,
...
)numeric matrix with frequency represented as
columns, and whose numeric frequency is stored in
colnames(mat) as character values.
numeric vector representing a
range of frequencies to be considered the "target",
and thus highlighted by EnrichedHeatmap::EnrichedHeatmap().
By default the target range is used to order rows from
high to low signal, unless the order is specified
otherwise. When target_frequency is NULL, there
is no target indicated in the normalizedMatrix.
additional arguments are ignored.
normalizedMatrix object, a subclass of matrix,
as defined in EnrichedHeatmap.
This function takes input data with frequency represented as columns, and observations as rows. It will optionally scale each row to have fixed minimum-to-maximum value range, given a range of frequencies to use for scaling.
Other jam import functions:
coverage_matrix2nmat(),
deepTools_matrix2nmat(),
import_lipotype_csv(),
import_metabolomics_niehs(),
import_nanostring_csv(),
import_nanostring_rcc(),
import_nanostring_rlf(),
import_proteomics_PD(),
import_proteomics_mascot(),
import_salmon_quant(),
process_metab_compounds_file()