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4. Multi-omic features of oesophageal adenocarcinoma in patients treated with preoperative neoadjuvant therapy

6. Long-term concentration of measure and cut-off

8. Tidal response of groundwater in a leaky aquifer: application to Oklahoma

9. Achieving a textbook outcome in patients undergoing gastric resections in a low incidence, high-volume Australian Upper GI unit

10. Targeting DNA Damage Response and Replication Stress in Pancreatic Cancer

11. Steins (magic) method

12. Glyco-centric lectin magnetic bead array (LeMBA) - proteomics dataset of human serum samples from healthy, Barrett׳s esophagus and esophageal adenocarcinoma individuals.

14. AGITG MASTERPLAN: a randomised phase II study of modified FOLFIRINOX alone or in combination with stereotactic body radiotherapy for patients with high-risk and locally advanced pancreatic cancer

15. International Multicenter Experience of Isolated Limb Infusion for In-Transit Melanoma Metastases in Octogenarian and Nonagenarian Patients

16. The oesophageal adenocarcinoma tumour immune microenvironment dictates outcomes with different modalities of neoadjuvant therapy – results from the AGITG DOCTOR trial and the cancer evolution biobank

17. Circulating Tumor DNA

18. On Stein's method and perturbations

19. Regenerative Compositions in the Case of Slow Variation

22. Pancreatic cancer genomes reveal aberrations in axon guidance pathway genes.

23. Mechanical Powers: Engineering and Romantic Poetics in the Early Anthropocene

25. Supplementary Data from Comparative Genomics Provides Etiologic and Biological Insight into Melanoma Subtypes

26. Data from Comparative Genomics Provides Etiologic and Biological Insight into Melanoma Subtypes

27. Data from Radiomics Biomarkers Correlate with CD8 Expression and Predict Immune Signatures in Melanoma Patients

28. Supplementary Figure 3 from Radiomics Biomarkers Correlate with CD8 Expression and Predict Immune Signatures in Melanoma Patients

29. Supplementary Figure 1 from Radiomics Biomarkers Correlate with CD8 Expression and Predict Immune Signatures in Melanoma Patients

30. Supplementary Tables 1-4 from Radiomics Biomarkers Correlate with CD8 Expression and Predict Immune Signatures in Melanoma Patients

31. Supplementary Figure 2 from Radiomics Biomarkers Correlate with CD8 Expression and Predict Immune Signatures in Melanoma Patients

33. Complex structural rearrangements are present in high-grade dysplastic Barrett’s oesophagus samples

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

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

36. Integrative pathway enrichment analysis of multivariate omics data

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

38. Divergent mutational processes distinguish hypoxic and normoxic tumours

39. Genomic footprints of activated telomere maintenance mechanisms in cancer

41. Comparative Genomics Provides Etiologic and Biological Insight into Melanoma Subtypes

42. 280. MULTI-OMIC FEATURES OF OESOPHAGEAL ADENOCARCINOMA PATIENTS PRE-TREATED WITH PREOPERATIVE NEOADJUVANT THERAPY

44. Let's Get Fiscal

45. Identification of unique neoantigen qualities in long-term survivors of pancreatic cancer

47. Genomic analyses identify molecular subtypes of pancreatic cancer

49. Exploring Some Ethical Dilemmas and Obligations of the Ethnographer

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