references.bib

---
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@article{wang_similarity_2014,
	title = {Similarity network fusion for aggregating data types on a genomic scale},
	volume = {11},
	copyright = {2014 Springer Nature America, Inc.},
	issn = {1548-7105},
	url = {https://www.nature.com/articles/nmeth.2810},
	doi = {10.1038/nmeth.2810},
	abstract = {Similarity network fusion (SNF) is an approach to integrate multiple data types on the basis of similarity between biological samples rather than individual measurements. The authors demonstrate SNF by constructing patient networks to identify disease subtypes with differential survival profiles.},
	language = {en},
	number = {3},
	urldate = {2024-03-13},
	journal = {Nature Methods},
	author = {Wang, Bo and Mezlini, Aziz M. and Demir, Feyyaz and Fiume, Marc and Tu, Zhuowen and Brudno, Michael and Haibe-Kains, Benjamin and Goldenberg, Anna},
	month = mar,
	year = {2014},
	note = {Publisher: Nature Publishing Group},
	keywords = {Data integration, Software, Systems biology},
	pages = {333--337},
}

@article{perez2011python
,	title	= {Python: an ecosystem for scientific computing}
,	author	= {Perez, Fernando and Granger, Brian E and Hunter, John D}
,	journal	= {Computing in Science \\& Engineering}
,	volume	= {13}
,	number	= {2}
,	pages	= {13--21}
,	year	= {2011}
,	publisher	= {AIP Publishing}
}