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1. Overloading And unpacKing (OAK) - droplet-based combinatorial indexing for ultra-high throughput single-cell multiomic profiling

2. Systems biology-based analysis implicates a novel role for vitamin D metabolism in the pathogenesis of age-related macular degeneration

5. Identifying subtypes of patients with neovascular age-related macular degeneration by genotypic and cardiovascular risk characteristics

6. The NEI/NCBI dbGAP database: Genotypes and haplotypes that may specifically predispose to risk of neovascular age-related macular degeneration

8. A systems biology approach uncovers novel disease mechanisms in age-related macular degeneration

10. Charged Particle Irradiation of Uveal Melanomas

12. Radiation Retinopathy

14. Proton Beam Irradiation: Expanding Indications

17. Current Management of Age-Related Macular Degeneration

20. The Association between Gene Expression Profiling and Regression Rate of Posterior Uveal Melanoma following Proton Beam Irradiation

22. 15-Gene Expression Profile and PRAME as Integrated Prognostic Test for Uveal Melanoma: First Report of Collaborative Ocular Oncology Group Study No. 2 (COOG2.1).

25. Characterization of Epiretinal Proliferation in Full-Thickness Macular Holes and Effects on Surgical Outcomes

26. Visual Outcomes after Proton Therapy for Recurrent Uveal Melanoma

27. Overloading And unpacKing (OAK) - droplet-based combinatorial indexing for ultra-high throughput single-cell multiomic profiling

28. Rare and common variants in extracellular matrix gene Fibrillin 2 (FBN2) are associated with macular degeneration

36. Patterns of Gene Expression, Splicing, and Allele-Specific Expression Vary among Macular Tissues and Clinical Stages of Age-Related Macular Degeneration

37. The DeMixSC deconvolution framework uses single-cell sequencing plus a small benchmark dataset for improved analysis of cell-type ratios in complex tissue samples

42. Radiation Retinopathy

43. Survival of patients with recurrent uveal melanoma after treatment with radiation therapy.

44. Integrating genetics and metabolomics from multi-ethnic and multi-fluid data reveals putative mechanisms for age-related macular degeneration

49. Abstract 4273: Integration with benchmark data of paired bulk and single-cell RNA sequencing data substantially improves the accuracy of bulk tissue deconvolution

50. In Reply to Elmali and Yazici

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