Add to ORKGRevealing selection in cancer using the predicted functional impact of cancer mutations. Application to nomination of cancer driver
Recent years saw the development of methods to detect signals of positive selection in the pattern o...
Sporadic cancer develops from the accrual of somatic mutations. Out of all small-scale somatic aberr...
Tumors are composed of an evolving population of cells subjected to tissue-specific selection, which...
A computational method for clinically relevant cancer stratification and driver mutation module disc...
The complexity of genomic alterations in cancer has made it difficult to identify oncogenic drivers ...
Improving the prediction of the functional impact of cancer mutations by baseline tolerance transfor...
The discovery of driver mutations is one of the key motivations for cancer genome sequencing. Here, ...
D.T. acknowledges funding from the EPSRC via CoMPLEX (grant #: EP/F500351/1). TG was funded by Cance...
Funder: Province of OntarioThe discovery of driver mutations is one of the key motivations for cance...
Distinguishing between driver and passenger mutations in individual cancer genomes by ysi
MOTIVATION: Several computational methods have been developed to identify cancer drivers genes-genes...
Cancer is a heterogeneous disease characterized by unregulated cell growth and promoted by mutations...
As the genomic profile across cancers varies from person to person, patient prognosis and treatment ...
Identifying cancer driver genes and pathways among all somatic mutations detected in a cohort of tum...
Tumors are composed of an evolving population of cells subjected to tissue-specific selection, which...
Recent years saw the development of methods to detect signals of positive selection in the pattern o...
Sporadic cancer develops from the accrual of somatic mutations. Out of all small-scale somatic aberr...
Tumors are composed of an evolving population of cells subjected to tissue-specific selection, which...
A computational method for clinically relevant cancer stratification and driver mutation module disc...
The complexity of genomic alterations in cancer has made it difficult to identify oncogenic drivers ...
Improving the prediction of the functional impact of cancer mutations by baseline tolerance transfor...
The discovery of driver mutations is one of the key motivations for cancer genome sequencing. Here, ...
D.T. acknowledges funding from the EPSRC via CoMPLEX (grant #: EP/F500351/1). TG was funded by Cance...
Funder: Province of OntarioThe discovery of driver mutations is one of the key motivations for cance...
Distinguishing between driver and passenger mutations in individual cancer genomes by ysi
MOTIVATION: Several computational methods have been developed to identify cancer drivers genes-genes...
Cancer is a heterogeneous disease characterized by unregulated cell growth and promoted by mutations...
As the genomic profile across cancers varies from person to person, patient prognosis and treatment ...
Identifying cancer driver genes and pathways among all somatic mutations detected in a cohort of tum...
Tumors are composed of an evolving population of cells subjected to tissue-specific selection, which...
Recent years saw the development of methods to detect signals of positive selection in the pattern o...
Sporadic cancer develops from the accrual of somatic mutations. Out of all small-scale somatic aberr...
Tumors are composed of an evolving population of cells subjected to tissue-specific selection, which...