TY  - JOUR
AU  - Porta-Pardo, Eduard
AU  - Kamburov, Atanas
AU  - Tamborero, David
AU  - Pons, Tirso
AU  - Grases, Daniela
AU  - Valencia, Alfonso
AU  - Lopez-Bigas, Nuria
AU  - Getz, Gad
AU  - Godzik, Adam
PY  - 2017
DO  - 10.1038/nmeth.4364
SN  - 1548-7091
UR  - http://hdl.handle.net/20.500.12105/17411
AB  - Understanding genetic events that lead to cancer initiation and progression remains one of the biggest challenges in cancer biology. Traditionally, most algorithms for cancer-driver identification look for genes that have more mutations than expected...
LA  - eng
KW  - NONRANDOM SOMATIC MUTATIONS
KW  - UTILIZING PROTEIN-STRUCTURE
KW  - TUMOR TYPES
KW  - SYSTEMATIC ANALYSIS
KW  - DRIVING CANCER
KW  - GENES REGIONS
KW  - IDENTIFICATION
KW  - LANDSCAPE
KW  - DISCOVERY
KW  - Carcinogenesis
KW  - Chromosome Mapping
KW  - Genes, Neoplasm
KW  - High-Throughput Nucleotide Sequencing
KW  - Humans
KW  - Neoplasms
TI  - Comparison of algorithms for the detection of cancer drivers at subgene resolution
TY  - journal article
ER  -