apply_peak_picking | R Documentation |
Functions to perform peak picking on the data:
apply_peak_picking
Wrapper to perform peak picking with any of the methods
apply_peak_picking.cw
Peak picking with the CentWave method
apply_peak_picking.mf
Peak picking with the Massifquant method
apply_peak_picking.mq
Peak picking with the MatchedFilter method
apply_peak_picking(data, method = c("cw", "mf", "mq"), cores = 1, ...)
apply_peak_picking.cw(
data,
BPPARAM,
ppm = 25,
p_width = c(20, 50),
snt = 3,
noise = 1e+06,
prefilter = c(1, 100),
mz_diff = 0.001,
...
)
apply_peak_picking.mq(
data,
BPPARAM,
ppm = 25,
p_width = c(20, 50),
snt = 3,
noise = 1e+06,
prefilter = c(1, 100),
mz_diff = 0.001,
...
)
apply_peak_picking.mf(
data,
BPPARAM,
bin = 0.1,
fwhm = 30,
sigma = 12.72,
max = 10,
steps = 2,
...
)
data |
An MSnExp object in centroid mode. |
method |
Character. Specifies the peak picking method. Options include 'cw' for CentWave, 'mq' for Massifquant, and 'mf' for MatchedFilter. |
BPPARAM |
BiocParallelParam-class object. Specifies the parallel processing parameters. Default is SnowParam with 4 workers. |
ppm |
Numeric. Specifies the parts per million for m/z tolerance. Additional parameters include p_width, snt, noise, prefilter, mz_diff, bin, fwhm, sigma, max, and steps, each with specific roles in peak picking. |
p_width |
Minium and maximum allowed peak width. |
snt |
Minimum signal-to-noise threshold allowed. |
noise |
Noise threshold. |
prefilter |
Prefilter step cutoff ( |
Apply Peak Picking Function to apply peak picking parameters on a data subset
MSnExp-class object after applying peak picking.
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