Massive single-cell RNA-seq analysis and imputation via deep learning
Yue Cheng DengiD, Feng BaoiD, Qionghai DaiiD, Lani F. WuiD, Steven J. AltschuleriD
Abstract
Recent advances in large-scale single cell RNA-seq enable fine-grained characterization of phenotypically distinct cellular states within heterogeneous tissues. We present scScope, a scalable deep-learning based approach that can accurately and rapidly identify cell-type composition from millions of noisy single-cell gene-expression profiles.
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