System biology help for cancer data base analysis to check altered genes.
0
0
Entering edit mode
5.8 years ago
selvasvce ▴ 10

Dear ALL, It is going to be some important questions. Can anyone help me with R programming for downloading the cancer data from cBioportal. I need to perform Differential gene expression analysis in Breast cancer from cBioportal , TCGA DATABASE. Please, it will be great if I get some help from fellow system biology people.

Thanks again for your time.

Best Regards, Selva

RNA-Seq rna-seq next-gen gene R • 1.1k views
ADD COMMENT
1
Entering edit mode

I think your question is too broad, or is this a job ad?

ADD REPLY
0
Entering edit mode

If you want help, show your code and how you have approached the problem

ADD REPLY
0
Entering edit mode

We have cleaned, R-ready TCGA data available for easy download here: http://linkedomics.org/login.php#dataSource

ADD REPLY
0
Entering edit mode

Hello all Thanks for the reply,(Beginner)

source("http://bioconductor.org/biocLite.R")
biocLite()
install.packages('cgdsr')
library(cgdsr)
mycgds <- CGDS("http://www.cbioportal.org/public-portal/")
getCancerStudies(mycgds)
mycancerstudy = getCancerStudies(mycgds)
breast_study <- getCancerStudies(mycgds)[25,1]
pca_case_list <- getCaseLists(mycgds,breast_study)[1,1]

here is the code and I need to further proceed to check normalization and check for differential gene expression. Please help me in this thanks.

ADD REPLY
0
Entering edit mode

Please do not add answers unless you're answering the top level question. Use Add Comment or Add Reply instead. Also, please use the formatting bar (especially the code option) to present your post better. I've done it for you this time.
code_formatting

ADD REPLY
1
Entering edit mode

Sorry about that. I will take note of it.

Thank you :)

ADD REPLY

Login before adding your answer.

Traffic: 1056 users visited in the last hour
Help About
FAQ
Access RSS
API
Stats

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.

Powered by the version 2.3.6