compareCls {SubCellBarCode} | R Documentation |
Comparison of the gene centric and exon centric classification. Additionally, correlation analysis is performed using quantification data.
compareCls(geneCls, exonCls)
geneCls, |
data frame gene centric classification output |
exonCls, |
data frame exon centric classification output |
c.df
{ exon.cls <- data.frame(Protein = c("ENSE00000331854", "ENSE00000331855", "ENSE00000331859"), NeighborhoodCls = c("Cytosol", "Cytosol", "Cytosol"), CompartmentCls = c("C1","C1","C1"), Secretory = c(0.1, 0.1, 0.1), Nuclear = c(0.2, 0.2, 0.2), Cytosol = c(0.2, 0.2, 0.2), Mitochondria = c(0.2, 0.2, 0.2), S1 = c(0.2, 0.2, 0.2), S2 = c(0.2, 0.2, 0.2), S3 = c(0.2, 0.2, 0.2), S4 = c(0.2, 0.2, 0.2), N1 = c(0.2, 0.2, 0.2), N2 = c(0.2, 0.2, 0.2), N3 = c(0.2, 0.2, 0.2), N4 = c(0.2, 0.2, 0.2), C1 = c(0.2, 0.2, 0.2), C2 = c(0.2, 0.2, 0.2), C3 = c(0.2, 0.2, 0.2), C4 = c(0.2, 0.2, 0.2), C5 = c(0.2, 0.2, 0.2), M1 = c(0.2, 0.2, 0.2), M2 = c(0.2, 0.2, 0.2), GeneSymbol = c("COPB1", "COPB1", "COPB1"), PeptideCount = c(2, 4, 7)) gene.cls <- data.frame(Protein = c("COPB1"), NeighborhoodCls = c("Cytosol"), CompartmentCls = c("C1"), Secretory = c(0.1), Nuclear = c(0.2), Cytosol = c(0.2), Mitochondria = c(0.2), S1 = c(0.2), S2 = c(0.2), S3 = c(0.2), S4 = c(0.2), N1 = c(0.2), N2 = c(0.2), N3 = c(0.2), N4 = c(0.2), C1 = c(0.2), C2 = c(0.2), C3 = c(0.2), C4 = c(0.2), C5 = c(0.2), M1 = c(0.2), M2 = c(0.2)) comp.df <- compareCls(gene.cls, exon.cls) }