Differentially expressed by TCGA-collected mRNA expression data

The data format required for the software deseq and Edger to do the differential expression must be the original counts, the data after the normalization and log2 are not suitable, so for the differential expression calculation of children's shoes can be used
Experimenthub download the original data for TCGA.

Geo Address: http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE62944
Installation:
First installation environment Requirements BIOC 3.4
# in R-3.3
Library (Biocinstaller)
Usedevel ()
Biocvalid () # Checks for out of date packages
Bioclite () # (optional) updates out of date packages

Expermenthub can be installed after upgrading to 3.4
Source ("Https://bioconductor.org/biocLite.R")
Bioclite ("Expermenthub")
Test run OK.

Library (Experimenthub)
EH = Experimenthub ()
Query (Eh, "GSE62944")
Tcga_data <-eh[["EH1"]

Head(phenodata(tcga_data)$cancertype)

Differentially expressed by TCGA-collected mRNA expression data