Project to study proliferation and metabolic liabilities across several thousand cancer samples.
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Updated
Apr 24, 2017 - R
Project to study proliferation and metabolic liabilities across several thousand cancer samples.
Integrative analysis workshop with TCGAbiolinks and ELMER
Visualizing TCGA pancancer datasets
Putting machine learning in the hands of cancer biologists
Training and evaluating a variational autoencoder for pan-cancer gene expression data
Genomic Data Commons Query
📓Notebook of Climente-González et al. (2017), The Functional Impact of Alternative Splicing in Cancer.
Python script to integrate files downloaded from the GDC server and normalized.
A Python script to create scatter plots from files containing integrated GDC RNA expression data.
Python script to create a heatmap based on correlations in GDC expression data of PTEN with other genes.
TCGA data acquisition and processing for Project Cognoma
Directions and code for generic GDC data downloads.
Maps TCGA individual file UUIDs to respective patient and sample barcodes
Genomic data from TCGA ready to be used (organized per tissue type and in matrix form)
This repo stores codes for the analysis of tasrkleat results on TCGA RNA-Seq dataa
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