To cite package ‘snifter’ in publications use: Poličar P, Stražar M, Zupan B (2019). “openTSNE: a modular Python library for t-SNE dimensionality reduction and embedding.” _bioRxiv_. doi:10.1101/731877 , https://www.biorxiv.org/content/early/2019/08/13/731877.full.pdf, . A BibTeX entry for LaTeX users is @Article{, author = {Pavlin G. {Poli{\v c}ar} and Martin {Stra{\v z}ar} and Bla{\v z} Zupan}, title = {openTSNE: a modular Python library for t-SNE dimensionality reduction and embedding}, year = {2019}, doi = {10.1101/731877}, publisher = {Cold Spring Harbor Laboratory}, url = {https://www.biorxiv.org/content/early/2019/08/13/731877}, eprint = {https://www.biorxiv.org/content/early/2019/08/13/731877.full.pdf}, journal = {bioRxiv}, } Linderman G, Rachh M, Hoskins J, Steinerberger S, Kluger Y (2019). “Fast interpolation-based t-SNE for improved visualization of single-cell RNA-seq data.” _Nature Methods_. doi:10.1038/s41592-018-0308-4 , . A BibTeX entry for LaTeX users is @Article{, author = {George C. Linderman and Manas Rachh and Jeremy G. Hoskins and Stefan Steinerberger and Yuval Kluger}, title = {Fast interpolation-based t-SNE for improved visualization of single-cell RNA-seq data}, year = {2019}, doi = {10.1038/s41592-018-0308-4}, url = {https://www.nature.com/articles/s41592-018-0308-4}, journal = {Nature Methods}, } van der Maaten L (2014). “Accelerating t-SNE using Tree-Based Algorithms.” _Journal of Machine Learning Research_, *15*(93), 3221-3245. . A BibTeX entry for LaTeX users is @Article{, author = {Laurens {van der Maaten}}, title = {Accelerating t-SNE using Tree-Based Algorithms}, journal = {Journal of Machine Learning Research}, year = {2014}, volume = {15}, number = {93}, pages = {3221-3245}, url = {http://jmlr.org/papers/v15/vandermaaten14a.html}, }