Differential expression analyses for single-cell RNA-Seq: old questions on new data-Reference-Cited by-同舟云学术

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Differential expression analyses for single-cell RNA-Seq: old questions on new data

Published:2016-12 Issue:4 Volume:4 Page:243-260
ISSN:2095-4689
Container-title:Quantitative Biology
language:en
Short-container-title:Quant Biol

Author:

Miao Zhun,Zhang Xuegong

Publisher

Engineering Sciences Press

Subject

Applied Mathematics,Computer Science Applications,Biochemistry, Genetics and Molecular Biology (miscellaneous),Modelling and Simulation

Link

http://link.springer.com/article/10.1007/s40484-016-0089-7/fulltext.html

Cited by 27 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. A Multiclass Method for Selecting Differentially-Expressed and Cell-Type-Discriminative Genes from scRNA-Seq Data;Proceedings of the 2023 7th International Conference on Computational Biology and Bioinformatics;2023-12-11

2. Five Years of Gene Networks Modeling in Single-cell RNA-sequencing Studies: Current Approaches and Outstanding Challenges;Current Bioinformatics;2022-12

3. Differential Expression Analysis of Single-Cell RNA-Seq Data: Current Statistical Approaches and Outstanding Challenges;Entropy;2022-07-18

4. Recommendations of scRNA-seq Differential Gene Expression Analysis Based on Comprehensive Benchmarking;Life;2022-06-07

5. hECA: The cell-centric assembly of a cell atlas;iScience;2022-05

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