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iq (version 1.10.1)

fast_preprocess: Data filtering and normalization

Description

Filters out low intensities and performs median normalization.

Usage

fast_preprocess(quant_table,
                median_normalization = TRUE,
                log2_intensity_cutoff = 0,
                pdf_out = "qc-plots-fast.pdf",
                pdf_width = 12,
                pdf_height = 8,
                show_boxplot = TRUE)

Value

A list is returned with the same components as input data in which low intensities are filtered out and median normalization is performed if requested.

Arguments

quant_table

The quant_table component as returned by fast_read.

median_normalization

A logical value. The default TRUE value is to perform median normalization.

log2_intensity_cutoff

Entries lower than this value in log2 space are ignored. Plot a histogram of all intensities to set this parameter.

pdf_out

A character string specifying the name of the PDF output. A NULL value will suppress the PDF output.

pdf_width

Width of the pdf output in inches.

pdf_height

Height of the pdf output in inches.

show_boxplot

A logical value. The default TRUE value is to create boxplots of fragment intensities for each sample.

Author

Thang V. Pham

References

Pham TV, Henneman AA, Jimenez CR. iq: an R package to estimate relative protein abundances from ion quantification in DIA-MS-based proteomics. Bioinformatics 2020 Apr 15;36(8):2611-2613.

See Also

fast_read