dCell.run: Run Decon-cell to generate new gene signature and...
In raguirreg/DeconCell: DeconCell

Description Usage Arguments Value Examples

Run Decon-cell to generate new gene signature and characterize marker genes. dCell.run Runs dCell.run to generate gene expression signatures to predict cell proportions of bulk tissues

1	dCell.run(exp, proportions, iterations = 10)

`exp`	A matrix or data.frame of normalized (by gene lenght and library size (RPKM, TMM, TPM...)) and scaled expression data, samples by columns and genes by row. Preferably comming from `dCell.expProcessing`.
`proportions`	A matrix or data.frame of cell proportions within each bulk RNA-Seq sample. Samples by row and cell types by column.
`iterations`	Number of iterations (and models) which would be calculated
`test.size`	Proportion of samples to be considered as test, 100 - `test.size` would be considered de proportion used for training.

a dCell.models-like object, a list (with a length == ncol(proportion.mat)), each element of the list contains the number of models defined by iterations