Luke Anderson-Trocmé
Courriels
luke.anderson-trocme@umontreal.ca (Travail)
Laboratoire : 514 343-7591
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Areas of Expertise
Publications Expand all Collapse all
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Anderson-Trocmé, L., Nelson, D., Zabad, S., Diaz-Papkovich, A., Kryukov, I., … & Gravel, S. (2023). On the genes, genealogies, and geographies of Quebec. Science, 380(6647), 849–855.
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Moldoveanu, D., Ramsay, L., Lajoie, M., Anderson-Trocmé, L., Lingrand, M., … & Watson, I. (2022). Spatially mapping the immune landscape of melanoma using imaging mass cytometry. Science Immunology, 7(70), eabi5072.
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Diaz-Papkovich, A., Anderson-Trocmé, L., & Gravel, S. (2021). A review of UMAP in population genetics. Journal of Human Genetics, 66(1), 85–91.
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Anderson-Trocmé, L., Farouni, R., Bourgey, M., Kamatani, Y., Higasa, K., … & Gravel, S. (2020). Legacy data confound genomics studies. Molecular Biology and Evolution, 37(1), 2–10.
Présenté dans le podcast Bioinformatics Chat.
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Diaz-Papkovich, A., Anderson-Trocmé, L., Ben-Eghan, C., & Gravel, S. (2019). UMAP reveals cryptic population structure and phenotype heterogeneity in large genomic cohorts. PLoS Genetics, 15(11), e1008432.
Anderson-Trocmé, L., Nelson, D., Zabad, S., Diaz-Papkovich, A., Kryukov, I., … & Gravel, S. (2023). On the genes, genealogies, and geographies of Quebec. Science, 380(6647), 849–855.
Moldoveanu, D., Ramsay, L., Lajoie, M., Anderson-Trocmé, L., Lingrand, M., … & Watson, I. (2022). Spatially mapping the immune landscape of melanoma using imaging mass cytometry. Science Immunology, 7(70), eabi5072.
Diaz-Papkovich, A., Anderson-Trocmé, L., & Gravel, S. (2021). A review of UMAP in population genetics. Journal of Human Genetics, 66(1), 85–91.
Anderson-Trocmé, L., Farouni, R., Bourgey, M., Kamatani, Y., Higasa, K., … & Gravel, S. (2020). Legacy data confound genomics studies. Molecular Biology and Evolution, 37(1), 2–10.
Présenté dans le podcast Bioinformatics Chat.
Diaz-Papkovich, A., Anderson-Trocmé, L., Ben-Eghan, C., & Gravel, S. (2019). UMAP reveals cryptic population structure and phenotype heterogeneity in large genomic cohorts. PLoS Genetics, 15(11), e1008432.
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