Tag: tcga-brca

Molecular analysis of TCGA breast cancer histologic types

Breast cancer is classified into multiple distinct histologic types, and many of the rarer types have limited characterization. Here, we extend The Cancer Genome Atlas Breast Cancer (TCGA-BRCA) dataset with additional histologic type annotations, in a total of 1063 breast cancers. We analyze this extended dataset to define transcriptomic and…

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HTSeq Counts no longer available

HTSeq Counts no longer available 1 @vm-21340 Last seen 8 hours ago Brazil I’m working with breast cancer expression data from the TCGA-BRCA project. All my scripts were written to retrieve HTSeq counts from GDC, but they seem to have been removed from the GDC Data Portal. When using GDCquery,…

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Genomic and epigenomic alterations of the basal-like prognostic biomarkers.

a) Heatmap with dendrogram representing the unsupervised hierarchical clustering analysis based on CNVs data of TCGA-BRCA patients. The rows in the heatmap represent the 11 basal-like prognostic biomarkers. The columns correspond to basal-like and luminal A TCGA-BRCA patients: basal-like are indicated in dark blue and luminal A in green. The…

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Index of /runs/gdc/report_2018_02_16

Name Last modified Size Description Parent Directory   –   TCGA-ACC.2018_02_16.diced_metadata.tsv 2018-02-16 01:06 250K   TCGA-ACC.2018_02_16.high_res.heatmap.png 2018-02-16 01:08 73K   TCGA-ACC.2018_02_16.low_res.heatmap.png 2018-02-16 01:08 37K   TCGA-ACC.2018_02_16.sample_counts.tsv 2018-02-16 01:06 142   TCGA-BLCA.2018_02_16.diced_metadata.tsv 2018-02-16 01:06 1.2M   TCGA-BLCA.2018_02_16.high_res.heatmap.png 2018-02-16 01:08 90K   TCGA-BLCA.2018_02_16.low_res.heatmap.png 2018-02-16 01:08 53K   TCGA-BLCA.2018_02_16.sample_counts.tsv 2018-02-16 01:06 201  …

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Overall survival and Event free survival

Overall survival and Event free survival 0 Hello everyone. I have a simple question. How do I calculate the overall survival (OS) rate and Event-free survival (EFS) using TCGA-BRCA clinical data? which column must be used for each one? Also, can I use the first quartile as my risk score…

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Differential expression analysis of TCGA data based on tumor staging

Hi everyone I wanted to analyze TCGA-BRCA data for identifying DEGs in different TNM stages (I to IV) between Normal and Tumor. How to change the following code to get the DEGs based on the staging? CancerProject <- “TCGA-BRCA” DataDirectory <- paste0(“../GDC/”,gsub(“-“,”_”,CancerProject)) FileNameData <- paste0(DataDirectory, “_”,”HTSeq_Counts”,”.rda”) query <- GDCquery(project =…

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Survival Analysis Cut-off

Survival Analysis Cut-off 0 Hello guys, I am doing a survival analysis using TCGA-BRCA project data. I am trying different cut-offs to separate my samples into high and low risk groups, but since it is my first time I would like to ask a question just to be fully sure…

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