VoPo leverages cellular heterogeneity for predictive modeling of single-cell data

High-throughput single-cell analysis technologies produce an abundance of data that is critical for profiling the heterogeneity of cellular systems. We introduce VoPo (https://github.com/stanleyn/VoPo), a machine learning algorithm for predictive modeling and comprehensive visualization of the heter...

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Detalhes bibliográficos
Publicado no:Nat Commun
Main Authors: Stanley, Natalie, Stelzer, Ina A., Tsai, Amy S., Fallahzadeh, Ramin, Ganio, Edward, Becker, Martin, Phongpreecha, Thanaphong, Nassar, Huda, Ghaemi, Sajjad, Maric, Ivana, Culos, Anthony, Chang, Alan L., Xenochristou, Maria, Han, Xiaoyuan, Espinosa, Camilo, Rumer, Kristen, Peterson, Laura, Verdonk, Franck, Gaudilliere, Dyani, Tsai, Eileen, Feyaerts, Dorien, Einhaus, Jakob, Ando, Kazuo, Wong, Ronald J., Obermoser, Gerlinde, Shaw, Gary M., Stevenson, David K., Angst, Martin S., Gaudilliere, Brice, Aghaeepour, Nima
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group UK 2020
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7385162/
https://ncbi.nlm.nih.gov/pubmed/32719375
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-020-17569-8
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