Building classifiers using cancer transcriptomes across 33 different cancer-types

Deep Learning with Multimodal Representation for Pancancer Prognosis Prediction

No description available

Data available at: https://www.dropbox.com/sh/jh4s57kgbb0rnxe/AABoMK466cGc1OKsOuFN10wca?dl=0 and https://nyulangone-my.sharepoint.com/:f:/g/personal/dalia_barkley_nyulangone_org/EuHetdAOc2pLjm9XUwqdWicBnlXIbyvHx-EOC-inP-SGUg?e=rxa7Ry

Homologous recombination deficiency in TCGA PanCancer Atlas

No description available

No description available

Clinical data for the TCGA PanCancer Atlas

Pan cancer summary statistics from meta analyses of UK Biobank and Kaiser GERA cohorts.

Bayesian network modelling of mutational interactions identifies novel cancer subgroups

This is the BWA workflow used in the PanCancer project used to allign all the BAM files.

Pancancer survival prediction using a deep learning architecture with multimodal representation and integration

No description available

NGS reference implementations and helper code for mapping (originally part of ICGC-TCGA-PanCancer)

A common pancancer command line interface

pancancer metabolomics

Evaluating genome-wide prediction of driver mutations using pan-cancer data

No description available

No description available

No description available

maui goes pancancer

No description available

Admixture estimates for the TCGA panCancer cohort

Pan-cancer association of a centrosome amplification gene expression signature with genomic alterations and clinical outcome

PanCancer investigation of Y chromosome loss

No description available

No description available

Gene Set Enrichment Class Analysis for heterogeneous RNA sequencing data

A method to improve TCGA pancancer classifiers performance

WDL implementation of https://github.com/ICGC-TCGA-PanCancer/Seqware-BWA-Workflow