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 ) inputBundle <- DECorrInputs(fetchData)
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