scHOIS: Determining Cell Heterogeneity Through Hierarchical Clustering Based on Optimal Imputation Strategy-Reference-Cited by-同舟云学术

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scHOIS: Determining Cell Heterogeneity Through Hierarchical Clustering Based on Optimal Imputation Strategy

Published:2023-03-01 Issue:2 Volume:20 Page:1431-1444
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:

Cheng Xiaoqing¹,Yan Chang²,Jiang Hao³^ORCID,Qiu Yushan²^ORCID

Affiliation:

1. School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’An, Shaanxi, China

2. College of Mathematics and Statistics, Shenzhen University, Shenzhen, Guangdong, China

3. School of Mathematics, Renmin University of China, Beijing, China

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Natural Science Foundation of Shanxi Province

Basic and Applied Basic Research Foundation of Guangdong Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Genetics,Biotechnology

Link

http://xplorestaging.ieee.org/ielx7/8857/10091711/09873928.pdf?arnumber=9873928

Reference55 articles.

1. Zero-preserving imputation of single-cell RNA-seq data

2. Autoimpute: Autoencoder based imputation of single-cell RNA-seq data;talwar;Sci Rep,2018

3. scGAIN: Single cell RNA-seq data imputation using generative adversarial networks;gunady;BioRxiv,2019

4. 2DImpute: imputation in single-cell RNA-seq data from correlations in two dimensions

5. Oligodendrocyte heterogeneity in the mouse juvenile and adult central nervous system

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