atlasTissue: Group feature table by tissue 1st table is filtered on fpkm >...
In Roleren/uORFomePipe: uORF prediction in R
atlasTissue R Documentation
Group feature table by tissue
1st table is filtered on fpkm > 1 per tissue
2nd table is row-mean fpkm per tissue
Description
Group feature table by tissue
1st table is filtered on fpkm > 1 per tissue
2nd table is row-mean fpkm per tissue
Usage
atlasTissue(
df.rfp,
table = readTable("fpkmRFP"),
dbOutputNames = c("RiboByTissueTF", "RiboByTissueMean")
)
Arguments
df.rfp
an ORFik experiment
table
"Ribofpkm"
dbOutputNames
the 2 output names c("RiboByTissueTF", "RiboByTissueMean")
Roleren/uORFomePipe documentation built on Jan. 14, 2024, 5:11 a.m.
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| atlasTissue | R Documentation |
Group feature table by tissue 1st table is filtered on fpkm > 1 per tissue 2nd table is row-mean fpkm per tissue
Description
Group feature table by tissue 1st table is filtered on fpkm > 1 per tissue 2nd table is row-mean fpkm per tissue
Usage
atlasTissue(
df.rfp,
table = readTable("fpkmRFP"),
dbOutputNames = c("RiboByTissueTF", "RiboByTissueMean")
)
Arguments
df.rfp |
an ORFik experiment |
table |
"Ribofpkm" |
dbOutputNames |
the 2 output names c("RiboByTissueTF", "RiboByTissueMean") |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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