xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data

Neural Information Processing Systems 

Advances in high-throughput sequencing technology have led to significant progress in measuring gene expressions at the single-cell level. The amount of publicly available single-cell RNA-seq (scRNA-seq) data is already surpassing 50M records for humans with each record measuring 20,000 genes.

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