Package 'zFPKM'

Title: A suite of functions to facilitate zFPKM transformations
Description: Perform the zFPKM transform on RNA-seq FPKM data. This algorithm is based on the publication by Hart et al., 2013 (Pubmed ID 24215113). Reference recommends using zFPKM > -3 to select expressed genes. Validated with encode open/closed chromosome data. Works well for gene level data using FPKM or TPM. Does not appear to calibrate well for transcript level data.
Authors: Ron Ammar [aut, cre], John Thompson [aut]
Maintainer: Ron Ammar <[email protected]>
License: GPL-3 | file LICENSE
Version: 1.29.0
Built: 2024-12-18 04:40:40 UTC
Source: https://github.com/bioc/zFPKM

Help Index


zFPKM Transformation

Description

Perform the zFPKM transform on RNA-seq FPKM data. This algorithm is based on the publication by Hart et al., 2013 (Pubmed ID 24215113). Reference recommends using zFPKM > -3 to select expressed genes. Validated with encode open/closed promoter chromatin structure epigenetic data on six of the ENCODE cell lines. Works well for gene level data using FPKM or TPM. Does not appear to calibrate well for transcript level data.

Usage

zFPKM(fpkmDF, assayName = "fpkm")

Arguments

fpkmDF

A SummarizedExperiment or data frame containing raw FPKM (or TPM) values. Each row corresponds to a gene/transcript and each column corresponds to a sample. NOTE: these are NOT log_2 transformed. Also, the rownames are gene/transcript names and NOT included as a separate column

assayName

When input is a SummarizedExperiment, names the specific assay. Typically one of "fpkm" or "tpm" [default = "fpkm"]

Value

zFPKM data frame

Author(s)

Ron Ammar, [email protected]

References

http://www.ncbi.nlm.nih.gov/pubmed/24215113

Examples

library(dplyr)
gse94802 <- "ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE94nnn/GSE94802/suppl/GSE94802_Minkina_etal_normalized_FPKM.csv.gz"
temp <- tempfile()
download.file(gse94802, temp)
fpkm <- read.csv(gzfile(temp), row.names=1)
MyFPKMdf <- select(fpkm, -MGI_Symbol)

zfpkm <- zFPKM(MyFPKMdf)

zFPKM Transformation

Description

Perform the zFPKM transform on RNA-seq FPKM data. This algorithm is based on the publication by Hart et al., 2013 (Pubmed ID 24215113). Reference recommends using zFPKM > -3 to select expressed genes. Validated with encode open/closed promoter chromatin structure epigenetic data on six of the ENCODE cell lines. Works well for gene level data using FPKM or TPM. Does not appear to calibrate well for transcript level data.

Usage

zFPKMPlot(fpkmDF, assayName = "fpkm", FacetTitles = FALSE,
  PlotXfloor = -20)

Arguments

fpkmDF

A SummarizedExperiment or data frame containing raw FPKM (or TPM) values. Each row corresponds to a gene/transcript and each column corresponds to a sample. NOTE: these are NOT log_2 transformed. Also, the rownames are gene/transcript names and NOT included as a separate column

assayName

When input is a SummarizedExperiment, names the specific assay. Typically one of "fpkm" or "tpm" [default = "fpkm"]

FacetTitles

use to label each facet with the sample name [default = FALSE]

PlotXfloor

Lower limit for X axis (log2FPKM units) [default = -20] set to NULL to disable

Value

Displays plots of zFPKM distributions

Author(s)

Ron Ammar, [email protected]

References

http://www.ncbi.nlm.nih.gov/pubmed/24215113

Examples

library(dplyr)
gse94802 <- "ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE94nnn/GSE94802/suppl/GSE94802_Minkina_etal_normalized_FPKM.csv.gz"
temp <- tempfile()
download.file(gse94802, temp)
fpkm <- read.csv(gzfile(temp), row.names=1)
MyFPKMdf <- select(fpkm, -MGI_Symbol)

zFPKMPlot(MyFPKMdf)