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1. Applying the FAIR Principles to Computational Workflows

2. Pan-cancer analysis of whole genomes

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

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

5. Integrative pathway enrichment analysis of multivariate omics data

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

7. Divergent mutational processes distinguish hypoxic and normoxic tumours

8. Genomic footprints of activated telomere maintenance mechanisms in cancer

9. FAIR Implementation Challenges & Solutions

10. The Dockstore: enhancing a community platform for sharing reproducible and accessible computational protocols

11. Butler enables rapid cloud-based analysis of thousands of human genomes

12. Pan-cancer analysis of whole genomes

14. Using Clouds for Big Cancer Data Analysis

17. Segment choice models

18. Automated protein (re)sequencing with MS/MS and a homologous database yields almost full coverage and accuracy.

19. Retrospective evaluation of whole exome and genome mutation calls in 746 cancer samples

20. Sex differences in oncogenic mutational processes

21. Retrospective evaluation of whole exome and genome mutation calls in 746 cancer samples

22. Pan-cancer analysis of whole genomes

23. Sex differences in oncogenic mutational processes

24. Retrospective evaluation of whole exome and genome mutation calls in 746 cancer samples

25. Retrospective evaluation of whole exome and genome mutation calls in 746 cancer samples

26. PEAKS DB: De NovoSequencing Assisted Database Search for Sensitive and Accurate Peptide Identification*

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