Cancer data analysis on the JFCR39 dataset
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Updated
Sep 4, 2018 - Jupyter Notebook
Cancer data analysis on the JFCR39 dataset
Python script to create a heatmap based on correlations in GDC expression data of PTEN with other genes.
Python script to download files from the GDC server
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.
Applying Machine Learning Ras, NF1, and TP53 Classifiers to PDX model gene expression
Predicting chemosensitivity using gene expression
KRAB-ZNF explorer - expression of KRAB-ZNF- transcription factors in The Cancer Genome Atlas study
DeTiN is designed to measure tumor-in-normal contamination and improve somatic variant detection sensitivity when using a contaminated matched control.
Summarize, Analyze and Visualize MAF files from TCGA or in-house studies.
Add a description, image, and links to the cancer-genome-atlas topic page so that developers can more easily learn about it.
To associate your repository with the cancer-genome-atlas topic, visit your repo's landing page and select "manage topics."