solveOLS: solveOLS

In DWLS: Gene Expression Deconvolution Using Dampened Weighted Least Squares

solveOLS

Description

This function solves or the unknown parameters using ordinary least squares (OLS). It is constrained such that cell type numbers are greater than 0.

Usage

solveOLS(S, B)

Arguments

S	List output from trimData$sig (S)
B	List output from trimData$bulk (B)

Value

Cell-type proportion

Examples

#Sig
#url <- "https://github.com/sistia01/DWLS/raw/main/inst/extdata/Sig.RData"
#dest <- "data/Sig.RData"
#download.file(url, dest)
#load("data/Sig.RData")
load(system.file("extdata", "Sig.RData", package = "DWLS"))

#dataBulk
#url <- "https://github.com/sistia01/DWLS/raw/main/inst/extdata/dataBulk.RData"
#dest <- "data/dataBulk.RData"
#download.file(url, dest)
#load("data/dataBulk.RData")
load(system.file("extdata", "dataBulk.RData", package = "DWLS"))

trimmed <- trimData(Sig, dataBulk)
S <- trimmed$sig
B <- trimmed$bulk
solveOLS(S, B)

DWLS documentation built on May 24, 2022, 5:07 p.m.