A Pan-Cancer Analysis of Enhancer Expression in Nearly 9000 Patient Samples.

Perspective on Oncogenic Processes at the End of the Beginning of Cancer Genomics.

Pathogenic Germline Variants in 10,389 Adult Cancers.

An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics.

Oncogenic Signaling Pathways in The Cancer Genome Atlas.

Comprehensive Characterization of Cancer Driver Genes and Mutations.

Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer.

Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation.

The Cancer Genome Atlas Comprehensive Molecular Characterization of Renal Cell Carcinoma.

Integrated Genomic Analysis of the Ubiquitin Pathway across Cancer Types.

Molecular Characterization and Clinical Relevance of Metabolic Expression Subtypes in Human Cancers.

Pan-Cancer Analysis of lncRNA Regulation Supports Their Targeting of Cancer Genes in Each Tumor Context.

Systematic Analysis of Splice-Site-Creating Mutations in Cancer.

Driver Fusions and Their Implications in the Development and Treatment of Human Cancers.

Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images.