Detalhe da pesquisa
1.
Analyses of non-coding somatic drivers in 2,658 cancer whole genomes.
Nature
; 578(7793): 102-111, 2020 02.
Artigo
Inglês
| MEDLINE | ID: mdl-32025015
2.
Author Correction: Analyses of non-coding somatic drivers in 2,658 cancer whole genomes.
Nature
; 614(7948): E40, 2023 Feb.
Artigo
Inglês
| MEDLINE | ID: mdl-36697832
3.
ncdDetect2: improved models of the site-specific mutation rate in cancer and driver detection with robust significance evaluation.
Bioinformatics
; 35(2): 189-199, 2019 01 15.
Artigo
Inglês
| MEDLINE | ID: mdl-29945188
4.
EBADIMEX: an empirical Bayes approach to detect joint differential expression and methylation and to classify samples.
Stat Appl Genet Mol Biol
; 18(6)2019 11 16.
Artigo
Inglês
| MEDLINE | ID: mdl-31734658
5.
A site specific model and analysis of the neutral somatic mutation rate in whole-genome cancer data.
BMC Bioinformatics
; 19(1): 147, 2018 04 19.
Artigo
Inglês
| MEDLINE | ID: mdl-29673314
6.
PINCAGE: probabilistic integration of cancer genomics data for perturbed gene identification and sample classification.
Bioinformatics
; 32(9): 1353-65, 2016 05 01.
Artigo
Inglês
| MEDLINE | ID: mdl-26740525
7.
The landscape and driver potential of site-specific hotspots across cancer genomes.
NPJ Genom Med
; 6(1): 33, 2021 May 13.
Artigo
Inglês
| MEDLINE | ID: mdl-33986299
8.
Pan-cancer screen for mutations in non-coding elements with conservation and cancer specificity reveals correlations with expression and survival.
NPJ Genom Med
; 3: 1, 2018.
Artigo
Inglês
| MEDLINE | ID: mdl-29354286
9.
Non-coding cancer driver candidates identified with a sample- and position-specific model of the somatic mutation rate.
Elife
; 62017 03 31.
Artigo
Inglês
| MEDLINE | ID: mdl-28362259
10.
Mutational context and diverse clonal development in early and late bladder cancer.
Cell Rep
; 7(5): 1649-1663, 2014 Jun 12.
Artigo
Inglês
| MEDLINE | ID: mdl-24835989