summarize.batches: summarize.batches

summarize.batchesR Documentation

summarize.batches

Description

Summarize batches.

Usage

summarize.batches(
  sets = NULL,
  probe.parameters = list(),
  batches,
  load.batches = FALSE,
  mc.cores = 1,
  cdf = NULL,
  bg.method = "rma",
  normalization.method = "quantiles",
  verbose = TRUE,
  save.batches.dir = ".",
  unique.run.identifier = NULL,
  save.batches = FALSE,
  set.inds,
  speedup = FALSE,
  summarize.with.affinities = FALSE
)

Arguments

sets

Probesets to summarize

probe.parameters

Optional probe parameters, including priors.

batches

Data batches for online learning

load.batches

Logical. Load precalculated data for the batches.

mc.cores

Number of cores for parallel computation

cdf

CDF for alternative probeset definitions

bg.method

Background correction method

normalization.method

Normalization method

verbose

Print progress information

save.batches.dir

Specify the output directory for temporary batch saves.

unique.run.identifier

Define identifier for this run for naming the temporary batch files. By default, a random id is generated.

save.batches

Save batches?

set.inds

Probeset indices

speedup

Speed up calculations with approximations.

summarize.with.affinities

Use affinity estimates in probe summarization step. Default: FALSE.

Details

Sweeps through the batches. Summarizes the probesets within each batch based on the precalculated model parameter point estimates.

Value

Expression matrix: probesets x samples.

Author(s)

Leo Lahti leo.lahti@iki.fi

References

See citation("RPA")

Examples

# 

microbiome/RPA documentation built on April 9, 2023, 10:59 a.m.