References

References#

[Bis98]

Christopher Bishop. Bayesian PCA. In Advances in Neural Information Processing Systems, volume 11. MIT Press, 1998.

[OST+03]

Shigeyuki Oba, Masa-aki Sato, Ichiro Takemasa, Morito Monden, Ken-ichi Matsubara, and Shin Ishii. A Bayesian missing value estimation method for gene expression profile data. Bioinformatics, 19(16):2088–2096, November 2003. doi:10.1093/bioinformatics/btg287.

[SRS+07]

Wolfram Stacklies, Henning Redestig, Matthias Scholz, Dirk Walther, and Joachim Selbig. pcaMethods—a bioconductor package providing PCA methods for incomplete data. Bioinformatics, 23(9):1164–1167, May 2007. doi:10.1093/bioinformatics/btm069.

[VBH+23]

Isaac Virshup, Danila Bredikhin, Lukas Heumos, Giovanni Palla, Gregor Sturm, Adam Gayoso, Ilia Kats, Mikaela Koutrouli, Philipp Angerer, Volker Bergen, Pierre Boyeau, Maren Büttner, Gokcen Eraslan, David Fischer, Max Frank, Justin Hong, Michal Klein, Marius Lange, Romain Lopez, Mohammad Lotfollahi, Malte D. Luecken, Fidel Ramirez, Jeffrey Regier, Sergei Rybakov, Anna C. Schaar, Valeh Valiollah Pour Amiri, Philipp Weiler, Galen Xing, Bonnie Berger, Dana Pe'er, Aviv Regev, Sarah A. Teichmann, Francesca Finotello, F. Alexander Wolf, Nir Yosef, Oliver Stegle, and Fabian J. Theis and. The scverse project provides a computational ecosystem for single-cell omics data analysis. Nature Biotechnology, apr 2023. URL: https://doi.org/10.1038%2Fs41587-023-01733-8, doi:10.1038/s41587-023-01733-8.