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1. The genomic and immune landscape of long-term survivors of high-grade serous ovarian cancer

2. MyD88 and TLR4 Expression in Epithelial Ovarian Cancer.

3. Dose-Response Association of CD8+ Tumor-Infiltrating Lymphocytes and Survival Time in High-Grade Serous Ovarian Cancer

4. Dose-Response Association of CD8+ Tumor-Infiltrating Lymphocytes and Survival Time in High-Grade Serous Ovarian Cancer.

5. Genome-wide association analyses of ovarian cancer patients undergoing primary debulking surgery identify candidate genes for residual disease.

6. Table S4 from Homologous Recombination DNA Repair Pathway Disruption and Retinoblastoma Protein Loss Are Associated with Exceptional Survival in High-Grade Serous Ovarian Cancer

7. Supplementary Methods, Figures 1-5 from Genomic Classification of Serous Ovarian Cancer with Adjacent Borderline Differentiates RAS Pathway and TP53-Mutant Tumors and Identifies NRAS as an Oncogenic Driver

8. Supplementary Data from Homologous Recombination DNA Repair Pathway Disruption and Retinoblastoma Protein Loss Are Associated with Exceptional Survival in High-Grade Serous Ovarian Cancer

9. Supplementary Highlighted Methods from Genomic Classification of Serous Ovarian Cancer with Adjacent Borderline Differentiates RAS Pathway and TP53-Mutant Tumors and Identifies NRAS as an Oncogenic Driver

10. Supplementary Data from Novel Molecular Subtypes of Serous and Endometrioid Ovarian Cancer Linked to Clinical Outcome

11. Supplementary Tables 1-7 from Genomic Classification of Serous Ovarian Cancer with Adjacent Borderline Differentiates RAS Pathway and TP53-Mutant Tumors and Identifies NRAS as an Oncogenic Driver

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

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

15. Integrative pathway enrichment analysis of multivariate omics data

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

17. Divergent mutational processes distinguish hypoxic and normoxic tumours

18. Genomic footprints of activated telomere maintenance mechanisms in cancer

19. Identification of 12 new susceptibility loci for different histotypes of epithelial ovarian cancer

20. Whole–genome characterization of chemoresistant ovarian cancer

21. Pan-cancer analysis of whole genomes

22. Corrigendum: Whole-genome characterization of chemoresistant ovarian cancer

23. Identification of 12 new susceptibility loci for different histotypes of epithelial ovarian cancer

24. Identification of 12 new susceptibility loci for different histotypes of epithelial ovarian cancer

25. Genomic Classification of Serous Ovarian Cancer with Adjacent Borderline Differentiates RAS Pathway and TP53-Mutant Tumors and Identifies NRAS as an Oncogenic Driver

26. Paclitaxel sensitivity in relation to ABCB1 expression, efflux and single nucleotide polymorphisms in ovarian cancer.

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

28. MyD88 and TLR4 Expression in Epithelial Ovarian Cancer

29. Sex differences in oncogenic mutational processes

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

31. Pan-cancer analysis of whole genomes

32. Sex differences in oncogenic mutational processes

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

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

35. Novel molecular subtypes of serous and endometrioid ovarian cancer linked to clinical outcome.

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