Probabilistic modeling of ambient noise in single-cell omics data
Caibin Sheng, Rui Lopes, Gang Li, Sven Schuierer, Annick Waldt, Rachel Cuttat, Slavica Dimitrieva, Audrey Kauffmann, Eric Durand, Giorgio G. Galli, Guglielmo Roma, Antoine de Weck
The paper develops scAR, a machine learning model to remove ambient noise from single-cell omics data across multiple technologies, showing high denoising accuracy.
bioRxiv · Jan 14, 2022 · PreprintBioinformatics