Computational cell cycle analysis of single cell RNA-seq data

被引：0

作者：

Moussa, Marmar ^{[1
]}

机构：

[1] Univ Connecticut, Comp Sci & Engn, Storrs, CT 06269 USA

来源：

2018 IEEE 8TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL ADVANCES IN BIO AND MEDICAL SCIENCES (ICCABS) | 2018年

基金：

美国国家科学基金会;

关键词：

Single cell RNA-seq; cell cycle;

D O I：

暂无

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

The variation in the gene expression profiles of single cells in different phases of the cell cycle can present a leading source of variance between the cells and can interfere with the functional analysis of the transcritomic data. In this work, we review some of the few methods available to analyze cell cycle stages in scRNA-seq data and present a computational method for ordering single cells transcriptional profiles according to their cell cycle phases.

引用

页数：1

共 50 条

[1] Computational Cell Cycle Analysis of Single Cell RNA-Seq Data
Moussa, Marmar
Mandoiu, Ion I.
[J]. COMPUTATIONAL ADVANCES IN BIO AND MEDICAL SCIENCES, 2021, 12686 : 71 - 87
[2] Computational analysis of alternative polyadenylation from standard RNA-seq and single-cell RNA-seq data
Gao, Yipeng
Li, Wei
[J]. MRNA 3' END PROCESSING AND METABOLISM, 2021, 655 : 225 - 243
[3] Single-Cell RNA-Seq Technologies and Related Computational Data Analysis
Chen, Geng
Ning, Baitang
Shi, Tieliu
[J]. FRONTIERS IN GENETICS, 2019, 10
[4] The contribution of cell cycle to heterogeneity in single-cell RNA-seq data
McDavid, Andrew
Finak, Greg
Gottardo, Raphael
[J]. NATURE BIOTECHNOLOGY, 2016, 34 (06) : 591 - 593
[5] The contribution of cell cycle to heterogeneity in single-cell RNA-seq data
Andrew McDavid
Greg Finak
Raphael Gottardo
[J]. Nature Biotechnology, 2016, 34 : 591 - 593
[6] CCPE: cell cycle pseudotime estimation for single cell RNA-seq data
Liu, Jiajia
Yang, Mengyuan
Zhao, Weiling
Zhou, Xiaobo
[J]. NUCLEIC ACIDS RESEARCH, 2022, 50 (02) : 704 - 716
[7] scBubbletree: computational approach for visualization of single cell RNA-seq data
Kitanovski, Simo
Cao, Yingying
Ttoouli, Dimitris
Farahpour, Farnoush
Wang, Jun
Hoffmann, Daniel
[J]. BMC BIOINFORMATICS, 2024, 25 (01):
[8] Characterizing and inferring quantitative cell cycle phase in single-cell RNA-seq data analysis
Hsiao, Chiaowen Joyce
Tung, PoYuan
Blischak, John D.
Burnett, Jonathan E.
Barr, Kenneth A.
Dey, Kushal K.
Stephens, Matthew
Gilad, Yoav
[J]. GENOME RESEARCH, 2020, 30 (04) : 611 - 621
[9] Reply to The contribution of cell cycle to heterogeneity in single-cell RNA-seq data
Andrew McDavid
Greg Finak
Raphael Gottardo
[J]. Nature Biotechnology, 2016, 34 : 593 - 595
[10] The contribution of cell cycle to heterogeneity in single-cell RNA-seq data Reply
不详
[J]. NATURE BIOTECHNOLOGY, 2016, 34 (06) : 593 - 595

← 1 2 3 4 5 →