A Novel Matrix Factorization Model for Interpreting Single-Cell Gene Expression from Biologically Heterogeneous Data

Kun Qian,Shiwei Fu,Hongwei Li,Wei Vivian Li

Annual International Conference on Research in Computational Molecular Biology (RECOMB)（2022）

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摘要

Single-cell RNA sequencing (scRNA-seq) technologies enable gene expression measurement at a single-cell resolution, and have opened a new frontier to understand animal development, physiology, and disease-associated molecular mechanisms [ 1 , 2 ].

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