Skip to Main Content

Paper Details

NetSig: network-based discovery from cancer genomes.
Nat Methods
63
2018
AKT2, NetSig, TFDP2, cancer, cancer genes, cancer genomes, driver genes, lung adenocarcinomas, mice, oncogenes, patients, random genes, tumor, tumor genome, tumors
Author NameAffiliation
Michael S LawrenceBroad Institute of MIT and Harvard
Michael S LawrenceDepartment of Pathology and MGH Cancer Center, Massachusetts General Hospital
Atanas KamburovBroad Institute of MIT and Harvard
Atanas KamburovDepartment of Pathology and MGH Cancer Center, Massachusetts General Hospital
William C HahnBroad Institute of MIT and Harvard
William C HahnDana-Farber Cancer Institute
William C HahnBroad Institute of MIT and Harvard
William C HahnDana-Farber Cancer Institute
Joshua D CampbellBroad Institute of MIT and Harvard
Joshua D CampbellBoston University School of Medicine
Jesse S BoehmBroad Institute of MIT and Harvard
Jesse S BoehmBroad Institute of MIT and Harvard
Gad GetzDepartment of Pathology and MGH Cancer Center, Massachusetts General Hospital
Gad GetzBroad Institute of MIT and Harvard
Gad GetzBroad Institute of MIT and Harvard
Gad GetzDepartment of Pathology and MGH Cancer Center, Massachusetts General Hospital
Kasper LageMassachusetts General Hospital, Harvard Medical School
Kasper LageBroad Institute of MIT and Harvard
Kasper LageInstitute for Biological Psychiatry, Mental Health Center Sct. Hans, University of Copenhagen
  • 1 - 19

Datasets

Release 1.2