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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Published in: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
Format: Artigo
Language:Inglês
Published: Nature Publishing Group UK 2020
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Online Access: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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