View source: R/markerGeneSelection.R
Writes candidate marker genes to a file along with other required information (fold change and silhouette coefficient) Selects candidates based on fold change to the median expression of other samples and a minimum expression in the cell type
1 2 3 4 5 6 | markerCandidates(design, expression, outLoc, groupNames,
regionNames = NULL, PMID = "PMID", rotate = NULL, cores = 1,
debug = NULL, sampleName = "sampleName",
replicates = "originalIndex", foldChangeThresh = 10,
minimumExpression = 8, background = 6, regionHierarchy = NULL,
geneID = "Gene.Symbol", seed = NULL)
|
design |
data.frame. Metadata for the samples. |
expression |
data.frame. Expression data for the samples. Gene names should be included as a column. Any other non expression
data not be of type |
outLoc |
Directory to save the candidate genes |
groupNames |
column of the |
regionNames |
column of the |
PMID |
column of the |
rotate |
double. percentage of samples to be removed. 0.33 is used for the study |
cores |
Number of cores to use for paralellization |
debug |
Nothing to see here |
sampleName |
column of the |
replicates |
column of the |
foldChangeThresh |
minimum fold change required for selection |
minimumExpression |
minimum level of expression for a marker gene in its cell type |
background |
level of expression that should be considered as background level |
regionHierarchy |
hiearchy of regions. |
seed |
seed for random generation. if NULL will be set to random |
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