Laboratory Scientist can find a correlation between gene expressions in cancer tissue. The data can be downloaded via https://portal.gdc.cancer.gov/projects/TCGA-CHOL.
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Updated
May 31, 2016 - Python
Laboratory Scientist can find a correlation between gene expressions in cancer tissue. The data can be downloaded via https://portal.gdc.cancer.gov/projects/TCGA-CHOL.
Genomic Data Commons Query
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.
Build the database file for cRegulome package
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
Examples on processing and working with TCGA mutation and RNA-Seq data
Prognostically Relevant Subtypes and Survival Prediction for Breast Cancer Based on Multimodal Genomics Data
A Community Curated Immune Resource Database in R format
survival of patients using ors on TCGA data
a neural network-based feature selection algorithm for next-generation sequencing data
An R package to access, manage and visualize regulome (microRNA/transcription factors)-gene correlations in cancer
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