Description Usage Arguments Value Author(s) Examples
View source: R/mixing_matrix_computation.R
Calculate the mixing matrix based on the output from marker_gene_selection(), and scale the mixing matrix to make the sum of proportions from tumor and stroma equal to 1. The pure expression levels of tumor and stroma are also computed.
1 | mixing_matrix_computation(X, a1, a2, dimenMatrix)
|
X |
Gene expression data matrix |
a1 |
The slope of marker genes in source 1 |
a2 |
The slope of marker genes in source 2 |
dimenMatrix |
The dimention reduction matrix used to recover mixing matrix for all the samples |
Aest |
estimated mixing matrix |
Sest |
estimated pure gene expression of two sources |
Niya Wang (wangny@vt.edu)
1 2 3 4 5 |
Loading required package: BiocGenerics
Loading required package: parallel
Attaching package: 'BiocGenerics'
The following objects are masked from 'package:parallel':
clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
clusterExport, clusterMap, parApply, parCapply, parLapply,
parLapplyLB, parRapply, parSapply, parSapplyLB
The following objects are masked from 'package:stats':
IQR, mad, sd, var, xtabs
The following objects are masked from 'package:base':
Filter, Find, Map, Position, Reduce, anyDuplicated, append,
as.data.frame, basename, cbind, colMeans, colSums, colnames,
dirname, do.call, duplicated, eval, evalq, get, grep, grepl,
intersect, is.unsorted, lapply, lengths, mapply, match, mget,
order, paste, pmax, pmax.int, pmin, pmin.int, rank, rbind,
rowMeans, rowSums, rownames, sapply, setdiff, sort, table, tapply,
union, unique, unsplit, which, which.max, which.min
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