标题
Identifying and removing the cell-cycle effect from single-cell RNA-Sequencing data
作者
关键词
-
出版物
Scientific Reports
Volume 6, Issue 1, Pages -
出版商
Springer Nature
发表日期
2016-09-27
DOI
10.1038/srep33892
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- The heterogeneity of human CD127+ innate lymphoid cells revealed by single-cell RNA sequencing
- (2016) Åsa K Björklund et al. NATURE IMMUNOLOGY
- Adult mouse cortical cell taxonomy revealed by single cell transcriptomics
- (2016) Bosiljka Tasic et al. NATURE NEUROSCIENCE
- Sincell: an R/Bioconductor package for statistical assessment of cell-state hierarchies from single-cell RNA-seq: Fig. 1.
- (2015) Miguel Juliá et al. BIOINFORMATICS
- Identification of cell types from single-cell transcriptomes using a novel clustering method
- (2015) Chen Xu et al. BIOINFORMATICS
- Single-Cell RNA-Seq with Waterfall Reveals Molecular Cascades underlying Adult Neurogenesis
- (2015) Jaehoon Shin et al. Cell Stem Cell
- Single-cell RNA-seq reveals changes in cell cycle and differentiation programs upon aging of hematopoietic stem cells
- (2015) Monika S. Kowalczyk et al. GENOME RESEARCH
- The first five years of single-cell cancer genomics and beyond
- (2015) Nicholas E. Navin GENOME RESEARCH
- Defining cell types and states with single-cell genomics
- (2015) Cole Trapnell GENOME RESEARCH
- Application of single-cell genomics in cancer: promise and challenges
- (2015) Quin F. Wills et al. HUMAN MOLECULAR GENETICS
- Computational assignment of cell-cycle stage from single-cell transcriptome data
- (2015) Antonio Scialdone et al. METHODS
- Advances and Applications of Single-Cell Sequencing Technologies
- (2015) Yong Wang et al. MOLECULAR CELL
- Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells
- (2015) Florian Buettner et al. NATURE BIOTECHNOLOGY
- Orchestrating high-throughput genomic analysis with Bioconductor
- (2015) Wolfgang Huber et al. NATURE METHODS
- Computational and analytical challenges in single-cell transcriptomics
- (2015) Oliver Stegle et al. NATURE REVIEWS GENETICS
- The BioMart community portal: an innovative alternative to large, centralized data repositories
- (2015) Damian Smedley et al. NUCLEIC ACIDS RESEARCH
- Cell types in the mouse cortex and hippocampus revealed by single-cell RNA-seq
- (2015) A. Zeisel et al. SCIENCE
- Characterizing noise structure in single-cell RNA-seq distinguishes genuine from technical stochastic allelic expression
- (2015) Jong Kyoung Kim et al. Nature Communications
- BASiCS: Bayesian Analysis of Single-Cell Sequencing Data
- (2015) Catalina A. Vallejos et al. PLoS Computational Biology
- Single-cell mRNA sequencing identifies subclonal heterogeneity in anti-cancer drug responses of lung adenocarcinoma cells
- (2015) Kyu-Tae Kim et al. GENOME BIOLOGY
- Quantification of cell identity from single-cell gene expression profiles
- (2015) Idan Efroni et al. GENOME BIOLOGY
- Reconstructing Complex Tissues from Single-Cell Analyses
- (2014) Lu Wen et al. CELL
- Single-Cell Trajectory Detection Uncovers Progression and Regulatory Coordination in Human B Cell Development
- (2014) Sean C. Bendall et al. CELL
- The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells
- (2014) Cole Trapnell et al. NATURE BIOTECHNOLOGY
- Validation of noise models for single-cell transcriptomics
- (2014) Dominic Grün et al. NATURE METHODS
- Bayesian approach to single-cell differential expression analysis
- (2014) Peter V Kharchenko et al. NATURE METHODS
- Gene Ontology Consortium: going forward
- (2014) NUCLEIC ACIDS RESEARCH
- Cyclebase 3.0: a multi-organism database on cell-cycle regulation and phenotypes
- (2014) Alberto Santos et al. NUCLEIC ACIDS RESEARCH
- Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma
- (2014) A. P. Patel et al. SCIENCE
- Single-Cell RNA Sequencing Reveals T Helper Cells Synthesizing Steroids De Novo to Contribute to Immune Homeostasis
- (2014) Bidesh Mahata et al. Cell Reports
- Single-cell transcriptomics reveals bimodality in expression and splicing in immune cells
- (2013) Alex K. Shalek et al. NATURE
- Accounting for technical noise in single-cell RNA-seq experiments
- (2013) Philip Brennecke et al. NATURE METHODS
- Entering the era of single-cell transcriptomics in biology and medicine
- (2013) Rickard Sandberg NATURE METHODS
- Single-cell sequencing-based technologies will revolutionize whole-organism science
- (2013) Ehud Shapiro et al. NATURE REVIEWS GENETICS
- Cell-Cycle Control of Developmentally Regulated Transcription Factors Accounts for Heterogeneity in Human Pluripotent Cells
- (2013) Amar M. Singh et al. Stem Cell Reports
- Using control genes to correct for unwanted variation in microarray data
- (2011) J. A. Gagnon-Bartsch et al. BIOSTATISTICS
- Tackling the widespread and critical impact of batch effects in high-throughput data
- (2010) Jeffrey T. Leek et al. NATURE REVIEWS GENETICS
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started