Computationally Efficient, Exact, Covariate-Adjusted Genetic Principal Component Analysis byLeveraging Individual Marker Summary Statistics from Large Biobanks

Jack Wolf, Martha Barnard, Xueting Xia, Nathan Ryder, Jason Westra, Nathan L. Tintle. Computationally Efficient, Exact, Covariate-Adjusted Genetic Principal Component Analysis byLeveraging Individual Marker Summary Statistics from Large Biobanks. In Pacific Symposium on Biocomputing 2020, Fairmont Orchid, Hawaii, USA, January 3-7, 2020. pages 719-730, 2020. [doi]

@inproceedings{WolfBXRWT20,
  title = {Computationally Efficient, Exact, Covariate-Adjusted Genetic Principal Component Analysis byLeveraging Individual Marker Summary Statistics from Large Biobanks},
  author = {Jack Wolf and Martha Barnard and Xueting Xia and Nathan Ryder and Jason Westra and Nathan L. Tintle},
  year = {2020},
  url = {https://psb.stanford.edu/psb-online/proceedings/psb20/Wolf.pdf},
  researchr = {https://researchr.org/publication/WolfBXRWT20},
  cites = {0},
  citedby = {0},
  pages = {719-730},
  booktitle = {Pacific Symposium on Biocomputing 2020, Fairmont Orchid, Hawaii, USA, January 3-7, 2020},
}