Bergstrom, Erik N.

Pan-cancer analysis of whole genomes

The ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium, Aaltonen, L. A., Abascal, F., Abeshouse, A., Aburatani, H., Adams, D. J., Agrawal, N., Ahn, K. S., Ahn, S.-M., Aikata, H., et al. (2020) · Nature

Cancer Genomics and DiagnosticsChromatin Remodeling and Cancer

Cited by 3,064

The evolutionary history of 2,658 cancers

Gerstung, M., Jolly, C., Leshchiner, I., Dentro, S. C., Gonzalez, S., Rosebrock, D., Mitchell, T. J., Rubanova, Y., Anur, P., Yu, K., et al. (2020) · Nature

Cancer Genomics and DiagnosticsChromatin Remodeling and Cancer

Cited by 1,057

Patterns of somatic structural variation in human cancer genomes

Li, Y., Roberts, N. D., Wala, J. A., Shapira, O., Schumacher, S. E., Kumar, K., Khurana, E., Waszak, S., Korbel, J. O., Haber, J. E., et al. (2020) · Nature

Cancer Genomics and DiagnosticsGenomic variations and chromosomal abnormalities

Cited by 867

Comprehensive analysis of chromothripsis in 2,658 human cancers using whole-genome sequencing

Cortés-Ciriano, I., Lee, J. J.-K., Xi, R., Jain, D., Jung, Y. L., Yang, L., Gordenin, D., Klimczak, L. J., Zhang, C.-Z., Pellman, D. S., et al. (2020) · Nature Genetics

Cancer Genomics and DiagnosticsGenomic variations and chromosomal abnormalities

Cited by 712

Pan-cancer analysis of whole genomes identifies driver rearrangements promoted by LINE-1 retrotransposition

Rodriguez-Martin, B., Alvarez, E. G., Baez-Ortega, A., Zamora, J., Supek, F., Demeulemeester, J., Santamarina, M., Ju, Y. S., Temes, J., Garcia-Souto, D., et al. (2020) · Nature Genetics

Genomic variations and chromosomal abnormalitiesCancer Genomics and Diagnostics

Cited by 451

Disruption of chromatin folding domains by somatic genomic rearrangements in human cancer

Akdemir, K. C., Le, V. T., Chandran, S., Li, Y., Verhaak, R. G., Beroukhim, R., Campbell, P. J., Chin, L., Dixon, J. R., Futreal, P. A., et al. (2020) · Nature Genetics

Genomics and Chromatin DynamicsChromatin Remodeling and Cancer

Cited by 283

Deep Learning Artificial Intelligence Predicts Homologous Recombination Deficiency and Platinum Response From Histologic Slides

Bergstrom, E. N., Abbasi, A., Díaz-Gay, M., Galland, L., Ladoire, S., Lippman, S. M., & Alexandrov, L. B. (2024) · Journal of Clinical Oncology

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

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