functional networks / e- e / protein interaction networks / false discovery rate algorithm / phosphorylation site / ab initio domain assembly server / protein networks / web server / /
MedicalCondition
very heterogeneous disease / human inherited disorders / true cancer / tumor / Tissue-specific PFR Cancer / glioblastoma datasets / cancer / tumors / disease / actual cancer / cancer genome atlas pan-cancer analysis project / carcinogenesis / potential cancer / neuroblastoma breakpoint family / novel cancer / human cancer / human cancers / tumour / large cancer / e-Driver identifes novel cancer / protein regions driving cancer Eduard Porta-Pardo1 / Gliomas / mutational cancer / endometrial cancer / sequenced cancer / each tumor / human genetic disease / lung adenocarcinoma / different cancer / acute myeloid leukemia / intrinsic disorder / glioblastoma / /
Movie
Conflict of Interest / /
Organization
Oxford University / Sanford-Burnham Medical Research Institute / /
Person
Thomas Hrabe / Lopez-Bigas / Hudson / Nat / /
Position
driver / Original Paper e-Driver / e-Driver / Editor / cancer driver / driver PFRs e-Driver / high-confidence driver / MP / Fisher / RESULTS e-Driver / using e-Driver / /
Product
ActiveDriver / Foldindex / /
ProgrammingLanguage
Perl / /
ProvinceOrState
North Dakota / California / /
Technology
Bioinformatics / gene expression / Perl / Benjamini-Hochberg false discovery rate algorithm / human genome / web server / /
Original Paper e-Driver: A novel method to identify protein regions driving cancer Eduard Porta-Pardo1, Adam Godzik1,* 1