UMI-count modeling and differential expression analysis for single-cell RNA sequencing-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

UMI-count modeling and differential expression analysis for single-cell RNA sequencing

Published:2018-05-31 Issue:1 Volume:19 Page:
ISSN:1474-760X
Container-title:Genome Biology
language:en
Short-container-title:Genome Biol

Author:

Chen Wenan,Li Yan,Easton John,Finkelstein David,Wu Gang,Chen Xiang

Funder

American Lebanese Syrian Associated Charities

National Cancer Institute

Publisher

Springer Science and Business Media LLC

Link

http://link.springer.com/content/pdf/10.1186/s13059-018-1438-9.pdf

Reference50 articles.

1. Liu S, Trapnell C. Single-cell transcriptome sequencing: recent advances and remaining challenges [version 1; referees: 2 approved]. 2016;5(F1000 Faculty Rev):182. https://doi.org/10.12688/f1000research.7223.1 .

2. Svensson V, Natarajan KN, Ly LH, Miragaia RJ, Labalette C, Macaulay IC, et al. Power analysis of single-cell RNA-sequencing experiments. Nat Methods. 2017;14:381–7.

3. Grun D, Kester L, van Oudenaarden A. Validation of noise models for single-cell transcriptomics. Nat Methods. 2014;11:637–40.

4. Marinov GK, Williams BA, McCue K, Schroth GP, Gertz J, Myers RM, et al. From single-cell to cell-pool transcriptomes: stochasticity in gene expression and RNA splicing. Genome Res. 2014;24:496–510.

5. Kharchenko PV, Silberstein L, Scadden DT. Bayesian approach to single-cell differential expression analysis. Nat Methods. 2014;11:740–2.

Cited by 96 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. scHD4E: Novel ensemble learning-based differential expression analysis method for single-cell RNA-sequencing data;Computers in Biology and Medicine;2024-08

2. Directly selecting cell-type marker genes for single-cell clustering analyses;Cell Reports Methods;2024-07

3. Systematic evaluation with practical guidelines for single-cell and spatially resolved transcriptomics data simulation under multiple scenarios;Genome Biology;2024-06-03

4. Spatiotemporal multi-omics: exploring molecular landscapes in aging and regenerative medicine;Military Medical Research;2024-05-27

5. Deep Batch Integration and Denoise of Single‐Cell RNA‐Seq Data;Advanced Science;2024-05-22

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3