A Fast, Provably Accurate Approximation Algorithm for Sparse Principal Component Analysis Reveals Human Genetic Variation Across the World

Agniva Chowdhury, Aritra Bose, Samson Zhou, David P. Woodruff, Petros Drineas. A Fast, Provably Accurate Approximation Algorithm for Sparse Principal Component Analysis Reveals Human Genetic Variation Across the World. In Itsik Pe'er, editor, Research in Computational Molecular Biology - 26th Annual International Conference, RECOMB 2022, San Diego, CA, USA, May 22-25, 2022, Proceedings. Volume 13278 of Lecture Notes in Computer Science, pages 86-106, Springer, 2022. [doi]

@inproceedings{ChowdhuryBZWD22,
  title = {A Fast, Provably Accurate Approximation Algorithm for Sparse Principal Component Analysis Reveals Human Genetic Variation Across the World},
  author = {Agniva Chowdhury and Aritra Bose and Samson Zhou and David P. Woodruff and Petros Drineas},
  year = {2022},
  doi = {10.1007/978-3-031-04749-7_6},
  url = {https://doi.org/10.1007/978-3-031-04749-7_6},
  researchr = {https://researchr.org/publication/ChowdhuryBZWD22},
  cites = {0},
  citedby = {0},
  pages = {86-106},
  booktitle = {Research in Computational Molecular Biology - 26th Annual International Conference, RECOMB 2022, San Diego, CA, USA, May 22-25, 2022, Proceedings},
  editor = {Itsik Pe'er},
  volume = {13278},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-04749-7},
}