Summarize, Analyze and Visualize MAF files from TCGA or in-house studies.

DeTiN is designed to measure tumor-in-normal contamination and improve somatic variant detection sensitivity when using a contaminated matched control.

Predicting chemosensitivity using gene expression

Applying Machine Learning Ras, NF1, and TP53 Classifiers to PDX model gene expression

KRAB-ZNF explorer - expression of KRAB-ZNF- transcription factors in The Cancer Genome Atlas study

Cancer data analysis on the JFCR39 dataset

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.

Python script to download files from the GDC server

Python script to integrate files downloaded from the GDC server and normalized.