MaSk-LMM: A Matrix Sketching Framework for Linear Mixed Models in Association Studies
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-1-0716-3989-4_29
Reference10 articles.
1. Bose, A., Burch, M., Chowdhury, A., Paschou, P., Drineas, P.: Structure-informed clustering for population stratification in association studies. BMC Bioinform. 24, 1–13 (2023)
2. Bose, A., Kalantzis, V., Kontopoulou, E.M., Elkady, M., Paschou, P., Drineas, P.: TeraPCA: a fast and scalable software package to study genetic variation in tera-scale genotypes. Bioinformatics 35(19), 3679–3683 (2019)
3. Bose, A., Platt, D.E., Parida, L., Drineas, P., Paschou, P.: Integrating linguistics, social structure, and geography to model genetic diversity within India. Mol. Biol. Evol. 38(5), 1809–1819 (2021)
4. Lipper, C.: Fast linear mixed models for genome-wide association studies. Nat. Methods 8, 833 (2011). https://doi.org/10.1038/nmeth.1681
5. Runcie, D.E.: MegaLMM: mega-scale linear mixed models for genomic predictions with thousands of traits. Genome Biol. 22(1), 1–25 (2021)
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