Automated Contamination Detection in Single-Cell Sequencing
Markus Lux, Barbara Hammer, Alexander Sczyrba
The paper presents a pipeline using machine learning to detect contamination in single-cell sequencing by clustering genomic data transformed via non-linear subspace projections.
bioRxiv · Jun 15, 2015 · PreprintBioinformatics