DECorrInputs | R Documentation |
Generate all the inputs files for differentially expressed orthologous genes/TEs analysis, and for correlation analysis. The output is a list containing 6 dataframes.
DECorrInputs(fetchData)
fetchData |
output list from TEKRABber::orthologScale() |
create inputs for DE analysis and correlations: (1) geneInputDESeq2 (2) teInputDESeq2 (3) geneCorrInputRef (4) geneCorrInputCompare (5) TECorrInputRef (6) TECorrInputCompare
data(speciesCounts)
data(hg38_panTro6_rmsk)
hmGene <- speciesCounts$hmGene
chimpGene <- speciesCounts$chimpGene
hmTE <- speciesCounts$hmTE
chimpTE <- speciesCounts$chimpTE
## For demonstration, here we only select 1000 rows to save time
set.seed(1234)
hmGeneSample <- hmGene[sample(nrow(hmGene), 1000), ]
chimpGeneSample <- chimpGene[sample(nrow(chimpGene), 1000), ]
fetchData <- orthologScale(
speciesRef = "hsapiens",
speciesCompare = "ptroglodytes",
geneCountRef = hmGeneSample,
geneCountCompare = chimpGeneSample,
teCountRef = hmTE,
teCountCompare = chimpTE,
rmsk = hg38_panTro6_rmsk,
version = 105
)
inputBundle <- DECorrInputs(fetchData)
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