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Your search keyword '"Juul, Malene"' showing total 32 results

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32 results on '"Juul, Malene"'

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1. Analyses of non-coding somatic drivers in 2,658 cancer whole genomes.

2. Author Correction: Analyses of non-coding somatic drivers in 2,658 cancer whole genomes

4. A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns

5. Combined burden and functional impact tests for cancer driver discovery using DriverPower

6. Integrative pathway enrichment analysis of multivariate omics data

7. Pathway and network analysis of more than 2500 whole cancer genomes

8. Divergent mutational processes distinguish hypoxic and normoxic tumours

9. Genomic footprints of activated telomere maintenance mechanisms in cancer

12. ncdDetect2: improved models of the site-specific mutation rate in cancer and driver detection with robust significance evaluation

13. Analyses of non-coding somatic drivers in 2,658 cancer whole genomes

15. ncdDetect2: Improved models of the site-specific mutation rate in cancer and driver detection with robust significance evaluation

16. Analyses of non-coding somatic drivers in 2,658cancer whole genomes

17. Cancer LncRNA Census reveals evidence for deep functional conservation of long noncoding RNAs in tumorigenesis

18. Pan-cancer analysis of whole genomes

19. Combined burden and functional impact tests for cancer driver discovery using DriverPower

20. Pan-cancer screen for mutations in non-coding elements with conservation and cancer specificity reveals correlations with expression and survival

22. Additional file 1 of A site specific model and analysis of the neutral somatic mutation rate in whole-genome cancer data

25. Discovery and characterization of coding and non-coding driver mutations in more than 2,500 whole cancer genomes

27. Pan-cancer screen for mutations in non-coding elements with conservation and cancer specificity reveals correlations with expression and survival

31. ncdDetect2: improved models of the site-specific mutation rate in cancer and driver detection with robust significance evaluation.

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