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52. Germline Variation at CDKN2A and Associations with Nevus Phenotypes among Members of Melanoma Families

54. The association of dermatologist demographic density with melanoma survival in New South Wales, Australia

55. Perspectives of health professionals and patients on implementation of a predictive model of response to immunotherapies in advanced melanoma

56. Spatial and Temporal Variations in Aerosol Properties in High-Resolution Convection-Permitting Simulations in an Idealized Tropical Marine Domain

57. Global atmospheric particle formation from CERN CLOUD measurements

58. Evaluation of Linkage of Breast Cancer to the Putative BRCA3 Locus on Chromosome 13q21 in 128 Multiple Case Families from the Breast Cancer Linkage Consortium

60. Whole-genome sequencing of acral melanoma reveals genomic complexity and diversity

61. Whole genome landscapes of uveal melanoma show an ultraviolet radiation signature in iris tumours

62. The 2019 Raikoke eruption as a testbed for rapid assessment of volcanic atmospheric impacts by the Volcano Response group

69. Data from Tumor Mutation Burden and Structural Chromosomal Aberrations Are Not Associated with T-cell Density or Patient Survival in Acral, Mucosal, and Cutaneous Melanomas

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

71. Supplementary Figure Legends from Tumor Mutation Burden and Structural Chromosomal Aberrations Are Not Associated with T-cell Density or Patient Survival in Acral, Mucosal, and Cutaneous Melanomas

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

73. Supplementary Figures and Tables from Tumor Mutation Burden and Structural Chromosomal Aberrations Are Not Associated with T-cell Density or Patient Survival in Acral, Mucosal, and Cutaneous Melanomas

75. Supplementary Table 1 from A High-Throughput Panel for Identifying Clinically Relevant Mutation Profiles in Melanoma

76. Supplementary Table 2 from A High-Throughput Panel for Identifying Clinically Relevant Mutation Profiles in Melanoma

77. Data from A High-Throughput Panel for Identifying Clinically Relevant Mutation Profiles in Melanoma

79. Data from Loss-of-Function Fibroblast Growth Factor Receptor-2 Mutations in Melanoma

80. Supplementary Table 3 from A High-Throughput Panel for Identifying Clinically Relevant Mutation Profiles in Melanoma

81. Supplementary Data from Loss-of-Function Fibroblast Growth Factor Receptor-2 Mutations in Melanoma

83. Supplementary Table 4 from A High-Throughput Panel for Identifying Clinically Relevant Mutation Profiles in Melanoma

87. Data from Accuracy of Self-Reported Nevus and Pigmentation Phenotype Compared with Clinical Assessment in a Population-Based Study of Young Australian Adults

88. Supplementary Figure Legend from BRAF/NRAS Wild-Type Melanomas Have a High Mutation Load Correlating with Histologic and Molecular Signatures of UV Damage

89. Figure S5 from PD-L1 Negative Status is Associated with Lower Mutation Burden, Differential Expression of Immune-Related Genes, and Worse Survival in Stage III Melanoma

90. Supplementary materials (clean version) from A Pilot Randomized Controlled Trial of the Feasibility, Acceptability, and Impact of Giving Information on Personalized Genomic Risk of Melanoma to the Public

91. Supplementary Figure S1 from Accuracy of Self-Reported Nevus and Pigmentation Phenotype Compared with Clinical Assessment in a Population-Based Study of Young Australian Adults

92. Supplementary Table 2 from BRAF/NRAS Wild-Type Melanomas Have a High Mutation Load Correlating with Histologic and Molecular Signatures of UV Damage

93. Supplementary Data from Distinct Molecular Profiles and Immunotherapy Treatment Outcomes of V600E and V600K BRAF-Mutant Melanoma

94. Supplementary Table S1 from Accuracy of Self-Reported Nevus and Pigmentation Phenotype Compared with Clinical Assessment in a Population-Based Study of Young Australian Adults

95. Personalised risk booklet - an example from A Pilot Randomized Controlled Trial of the Feasibility, Acceptability, and Impact of Giving Information on Personalized Genomic Risk of Melanoma to the Public

96. Table S1 from PD-L1 Negative Status is Associated with Lower Mutation Burden, Differential Expression of Immune-Related Genes, and Worse Survival in Stage III Melanoma

97. Supplementary Figure 1 from BRAF/NRAS Wild-Type Melanomas Have a High Mutation Load Correlating with Histologic and Molecular Signatures of UV Damage

98. Supplementary Tables 1, 3 and 4 from BRAF/NRAS Wild-Type Melanomas Have a High Mutation Load Correlating with Histologic and Molecular Signatures of UV Damage

99. Supplementary Figure S3 from UV-Associated Mutations Underlie the Etiology of MCV-Negative Merkel Cell Carcinomas

100. Supplementary Methods and References from UV-Associated Mutations Underlie the Etiology of MCV-Negative Merkel Cell Carcinomas

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