detectNonGenes: detectNonGenes
In jasonserviss/sp.scRNAseqData: Data and processing functions for the CIMseq.data package
Description
Arguments
Value
Author(s)
Examples
Description
HTSeq outputs several "non-genes" in the counts output. These include:
"__no_feature", "__ambiguous", "__too_low_aQual", "__not_aligned",
"__alignment_not_unique". Since these are measurements of the quantification
quality and are often undesirable in downstream analysis, this function
detects them in the submitted counts data.frame to allow easy removal.
Arguments
counts
data.frame; A data frame with counts data with gene names as
rownames.
Value
A logical vector with length = nrow(counts) that is TRUE when the
counts data.frame row contains a non-gene.
Author(s)
Jason Serviss
Examples
1
2
counts <- data.frame(runif(10), row.names = c(1:9, "__no_feature"))
detectNonGenes(counts)
jasonserviss/sp.scRNAseqData documentation built on Jan. 8, 2020, 11:46 a.m.
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Description Arguments Value Author(s) Examples
Description
HTSeq outputs several "non-genes" in the counts output. These include: "__no_feature", "__ambiguous", "__too_low_aQual", "__not_aligned", "__alignment_not_unique". Since these are measurements of the quantification quality and are often undesirable in downstream analysis, this function detects them in the submitted counts data.frame to allow easy removal.
Arguments
counts |
data.frame; A data frame with counts data with gene names as rownames. |
Value
A logical vector with length = nrow(counts) that is TRUE when the counts data.frame row contains a non-gene.
Author(s)
Jason Serviss
Examples
1 2 | counts <- data.frame(runif(10), row.names = c(1:9, "__no_feature"))
detectNonGenes(counts)
|
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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