View source: R/stats_differential_detect.R
differential_detect | R Documentation |
The computation of scores is detailed in the online vignitte for "differential testing".
differential_detect(
dataset,
min_peptides_observed = 1L,
min_samples_observed = 3,
min_fraction_observed = 0.5,
count_mode = "auto",
rescale_counts_per_sample = TRUE,
return_wide_format = FALSE
)
dataset |
a valid dataset |
min_peptides_observed |
minimum number of peptides for a protein to pass filtering rules (i.e. otherwise, no z-score is computed) |
min_samples_observed |
minimum number of samples where a protein should be observed with at least |
min_fraction_observed |
for differential detection only; analogous to |
count_mode |
whether z-scores for only detected peptides, or all observed peptides, should be computed. options; "auto", "detect", "quant" |
rescale_counts_per_sample |
boolean, indicating whether per sample, detect counts should be rescaled (i.e. to normalize across samples for the number of detected peptides) |
return_wide_format |
boolean, return table in simplified wide-format (TRUE) or return all data in long-format table (FALSE, default) |
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