scInterpreter: a knowledge-regularized generative model for interpretably integrating scRNA-seq data

scInterpreter: a knowledge-regularized generative model for interpretably integrating scRNA-seq data

Abstract Background The rapid emergence of single-cell RNA-seq (scRNA-seq) data presents remarkable opportunities for broad investigations through integration analyses. However, most integration models are black boxes that lack interpretability or are hard to train. Results To address the above issu...

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Bibliographic Details
Main Authors: Zhen-Hao Guo, Yan Wu, Siguo Wang, Qinhu Zhang, Jin-Ming Shi, Yan-Bin Wang, Zhan-Heng Chen
Format: Article
Language:English
Published: BMC 2023-12-01
Series:BMC Bioinformatics
Subjects:
Single-cell RNA-seq
Batch correction
Integration
Deep learning
Knowledge-regularized
Online Access:https://doi.org/10.1186/s12859-023-05579-4

Internet

https://doi.org/10.1186/s12859-023-05579-4

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