convertLimmaToSCE | R Documentation |
convert the limma result to gene by meta-cluster data stored in an SingleCellExperiment object
convertLimmaToSCE(
de.limma.tb,
out.prefix,
ncores = 8,
min.ncells = 30,
min.ncellsStudy = 200,
gset.list = NULL,
direct.sig = T,
TH.gene.occ = 1,
de.mode = "multiAsTwo",
column.exp = "meanScale",
gene.used = NULL,
colSet = list()
)
de.limma.tb |
data.table; one line for a dataset. columns "data.id", "platform", and "dfile" are required |
out.prefix |
character; output prefix |
ncores |
integer; number of CPU cores to use. (default: 8) |
min.ncells |
integer; only meta-clusters with number of cells > min.ncells are used. (default: 30) |
min.ncellsStudy |
integer; only datasets with number of cells > min.ncellsStudy are used. (default: 200) |
gset.list |
list; list containing gene sets. (default: NULL) |
direct.sig |
logical; if TRUE, genes exibit significance in all datasets will be assigned "sig" directly, irrespective of combined ES and combined adjusted p vlaue. (default: TRUE) |
TH.gene.occ |
double; range from 0 to 1. genes present in >= TH.gene.occ datasets are used. (default: 1) |
de.mode |
character; mode of differential expression analysis. (default: "multiAsTwo") |
column.exp |
character; convert the column of limma result to assay data. (default: "meanScale") |
gene.used |
character; only keep genes in gene.used. (default: NULL) |
colSet |
list; mapping iterms in the names to colors in the values. (default: list()) |
convert the limma result to gene by meta-cluster data stored in an SingleCellExperiment object
a SingleCellExperiment object
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.