SCDC_prop_ONE | R Documentation |
Proportion estimation function for one-subject case
SCDC_prop_ONE( bulk.eset, sc.eset, ct.varname, sample, truep = NULL, ct.sub, iter.max = 2000, nu = 1e-10, epsilon = 0.01, weight.basis = T, ct.cell.size = NULL, ... )
bulk.eset |
ExpressionSet object for bulk samples |
sc.eset |
ExpressionSet object for single cell samples |
ct.varname |
variable name for 'cell types' |
sample |
variable name for subject/samples |
truep |
true cell-type proportions for bulk samples if known |
ct.sub |
a subset of cell types that are selected to construct basis matrix |
iter.max |
the maximum number of iteration in WNNLS |
nu |
a small constant to facilitate the calculation of variance |
epsilon |
a small constant number used for convergence criteria |
ct.cell.size |
default is NULL, which means the "library size" is calculated based on the data. Users can specify a vector of cell size factors corresponding to the ct.sub according to prior knowledge. The vector should be named: names(ct.cell.size input) should not be NULL. |
Estimated proportion, basis matrix, predicted gene expression levels for bulk samples
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