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A multi-response Gaussian model capable of accurately estimating the composition of blood samples from their gene expression profiles. Fit on Affymetrix Gene ST gene expression profiles using the glmnet R package.

License: GNU General Public License v3.0

R 100.00%
deconvolution genomics transcriptomics glmnet composition blood-samples gene-expression-profiles

enumerateblood's Introduction

enumerateblood

A multi-response Gaussian model capable of accurately estimating the composition of blood samples from their gene expression profiles. Fit on Affymetrix Gene ST gene expression profiles using the glmnet R package.

Usage:

# install `devtools` if needed with `install.packages('devtools')`
library(devtools)
install_github('cashoes/enumerateblood')

# load package
library(enumerateblood)

# load package data object (the trained model)
data('enumerateblood')

# use the trained model to predict cell proportions
# from gene expression matrix x.
#
# x is a p (probesets) * n (samples) matrix of (RMA) normalized 
# gene expression data (assayed on the Affymetrix Gene 1.0 or 
# 1.1 ST platform), such as that returned by the `oligo::rma()` 
# function
predict(enumerateblood, x)

enumerateblood's People

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enumerateblood's Issues

Problem running the algorithm

Hi, i am using your package

i have my normalized matrix Affy Gene ST 1.0 in expres so

cc<-predict(enumerateblood, expres)

gives me this
Error in cbind2(1, newx) %*% (nbeta[[i]]) :
Cholmod error 'X and/or Y have wrong dimensions' at file ../MatrixOps/cholmod_sdmult.c, line 90

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