Thanks Likun,
I was confused by the q-value. It all makes sense now.
- Nick
I was confused by the q-value. It all makes sense now.
- Nick
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Control Gene Count RPKM total no. reads gene length ABAT 811 1.57049 87082676 5930 Mutant ABAT 4264 10.3046 69779755 5930
library(DEGseq) sample1 <- "D:/data/sample1.txt" sample2 <- "D:/data/sample2.txt" refFlat <- "D:/data/refFlat.txt" mapResultBatch1 <- c(sample1) mapResultBatch2 <- c(sample2) outputDir <- "D:/data/DEGseqExample" DEGseq(mapResultBatch1, mapResultBatch2, fileFormat = "eland",refFlat = refFlat, outputDir = outputDir, method = "LRT")
hist(LogVal(Sample1),main=label1,xlab="log2(Number of reads mapped to a gene)",col=4,breaks=100,freq=FALSE,ylim=c(0,0.5))
The introduction of single-cell sequencing has advanced the ability to study cell-to-cell heterogeneity. Its use has improved our understanding of somatic mutations1, cell lineages2, cellular diversity and regulation3, and development in multicellular organisms4. Single-cell sequencing encompasses hundreds of techniques with different approaches to studying the genomes, transcriptomes, epigenomes, and other omics of individual cells. The analysis of single-cell sequencing data i
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