Article

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

2023-03-25

Abstract excerpt

<h4> A bstract </h4> The advances in high-throughput sequencing technology have led to significant progress in measuring gene expressions in single-cell level. The amount of publicly available single-cell RNA-seq (scRNA-seq) data is already surpassing 50M records for human with each record measuring 20,000 genes. This highlights the need for unsupervised representation learning to fully ingest these data, yet c...

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Literature Corpus work: 57e31294-d0ba-5cfb-b8e1-305dc922695a
DOI: 10.1101/2023.03.24.534055

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