Deep Multi-Constraint Soft Clustering Analysis for Single-Cell RNA-Seq Data via Zero-Inflated Autoencoder Embedding-Reference-Cited by-同舟云学术

Deep Multi-Constraint Soft Clustering Analysis for Single-Cell RNA-Seq Data via Zero-Inflated Autoencoder Embedding

Published:2023-05-01 Issue:3 Volume:20 Page:2254-2265
ISSN:1545-5963
Container-title:IEEE/ACM Transactions on Computational Biology and Bioinformatics
language:
Short-container-title:IEEE/ACM Trans. Comput. Biol. and Bioinf.

Author:

He Yezi¹^ORCID,Chen Xiangtao¹^ORCID,Tu Nguyen Hoang²^ORCID,Luo Jiawei¹^ORCID

Affiliation:

1. College of Computer Science and Electronic Engineering, Hunan University, Changsha, Hunan, China

2. Center for Information Technology and Faculty of Information and Technology, Hanoi University of Industry, Hanoi, Vietnam

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Genetics,Biotechnology

Link

Reference56 articles.

1. Review of single-cell RNA-seq data clustering for cell type identification and characterization;zhang,2020

5. RUV-III-NB: Normalization of single cell RNA-seq data;thijssen;Nucleic Acids Res,2022

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