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1. Landscape and selection of vaccine epitopes in SARS-CoV-2

2. How fast can we make interpreted Python?

3. Locality Optimization for Data Parallel Programs

9. ACE configurator for ELISpot: optimizing combinatorial design of pooled ELISpot assays with an epitope similarity model.

11. LENS: Landscape of Effective Neoantigens Software

12. Abstract CT270: Immunogenicity of PGV_001 neoantigen vaccine in a Phase-I clinical trial, across various types of cancers in adjuvant setting

14. LENS: Landscape of Effective Neoantigens Software

15. Abstract LB048: An adjuvant personalized neoantigen peptide vaccine for the treatment of malignancies (PGV-001)

16. Additional file 1 of Landscape and selection of vaccine epitopes in SARS-CoV-2

17. A model of antigen processing improves prediction of MHC I-presented peptides

18. Defining HLA-II ligand processing and binding rules with mass spectrometry enhances cancer epitope prediction

19. 289 PGV-001: a phase 1 trial of a personalized neoantigen peptide vaccine for the treatment of malignancies in the adjuvant setting

24. Landscape and Selection of Vaccine Epitopes in SARS-CoV-2

26. Abstract B23: Enhanced HLA-II epitope prediction for immunotherapy with novel proteomics and genomics approaches

27. Defining HLA-II Ligand Processing and Binding Rules with Mass Spectrometry Enhances Cancer Epitope Prediction

29. Abstract CT096: Phase I study of in situ autologous vaccination for prostate cancer in a neo-adjuvant setting

30. A phase I study of the safety and immunogenicity of a multi-peptide personalized genomic vaccine in the adjuvant treatment of solid tumors and hematological malignancies.

31. Abstract A005: A phase I study of the safety and immunogenicity of a multipeptide personalized genomic vaccine in the adjuvant treatment of solid cancers

35. Mutation-derived tumor antigens: novel targets in cancer immunotherapy

39. Personalized neoantigen vaccination with synthetic long peptides

40. Heterogeneity of mutated tumor antigens in a single high grade ovarian serous carcinoma

44. Using a Machine Learning Approach to Predict Outcomes after Radiosurgery for Cerebral Arteriovenous Malformations

45. Patient-Specific Mutation-Derived Tumor Antigens As Targets for Cancer Immunotherapy in Multiple Myeloma

46. A local-view array library for partitioned global address space C++ programs

49. Parakeet.

50. A local-view array library for partitioned global address space C++ programs

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