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CB2 distinguishes cells from background barcodes in 10x Genomics data

Ni, Z.; Chen, S.; Brown, J.; Kendziorski, C.

2019-11-06 genomics
10.1101/832535 bioRxiv
Show abstract

An important challenge in pre-processing data from the 10x Genomics Chromium platform is distinguishing barcodes associated with real cells from those binding background reads. Existing methods test barcodes individually, and consequently do not leverage the strong cell-to-cell correlation present in most datasets. To improve the power to identify real cells and rare subpopulations, we introduce CB2, a cluster-based approach for distinguishing real cells from background barcodes.

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"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.