An Effective Biclustering-Based Framework for Identifying Cell Subpopulations From scRNA-seq Data-Reference-Cited by-同舟云学术

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An Effective Biclustering-Based Framework for Identifying Cell Subpopulations From scRNA-seq Data

Published:2021-11-01 Issue:6 Volume:18 Page:2249-2260
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:

Fang Qiong^ORCID,Su Dewei,Ng Wilfred,Feng Jianlin

Funder

NSF China

HKUST RGC

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Genetics,Biotechnology

Link

http://xplorestaging.ieee.org/ielx7/8857/9642421/09031320.pdf?arnumber=9031320

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. CAbiNet: joint clustering and visualization of cells and genes for single-cell transcriptomics;Nucleic Acids Research;2024-06-08

2. Single-cell biclustering for cell-specific transcriptomic perturbation detection in AD progression;Cell Reports Methods;2024-04

3. Single-Cell Biclustering for Cell-Specific Transcriptomic Perturbation Detection in AD Progression;2023

4. Research progress of single-cell transcriptome sequencing in autoimmune diseases and autoinflammatory disease: A review;Journal of Autoimmunity;2022-12

5. What are the applications of single-cell RNA sequencing in cancer research: a systematic review;Journal of Experimental & Clinical Cancer Research;2021-05-11

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