Reconstructing and analysing cellular states, space and time from gene expression profiles of many cells and single cells
出版年份 2015 全文链接
标题
Reconstructing and analysing cellular states, space and time from gene expression profiles of many cells and single cells
作者
关键词
-
出版物
Molecular BioSystems
Volume 11, Issue 10, Pages 2690-2698
出版商
Royal Society of Chemistry (RSC)
发表日期
2015-08-06
DOI
10.1039/c5mb00339c
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- 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
- Decoding the regulatory network of early blood development from single-cell gene expression measurements
- (2015) Victoria Moignard et al. NATURE BIOTECHNOLOGY
- Spatial reconstruction of single-cell gene expression data
- (2015) Rahul Satija et al. NATURE BIOTECHNOLOGY
- High-throughput spatial mapping of single-cell RNA-seq data to tissue of origin
- (2015) Kaia Achim et al. NATURE BIOTECHNOLOGY
- Computational and analytical challenges in single-cell transcriptomics
- (2015) Oliver Stegle et al. NATURE REVIEWS GENETICS
- Cell types in the mouse cortex and hippocampus revealed by single-cell RNA-seq
- (2015) A. Zeisel et al. SCIENCE
- Statistical significance of variables driving systematic variation in high-dimensional data
- (2014) Neo Christopher Chung et al. BIOINFORMATICS
- Genome-wide RNA Tomography in the Zebrafish Embryo
- (2014) Jan Philipp Junker et al. CELL
- Single-Cell Trajectory Detection Uncovers Progression and Regulatory Coordination in Human B Cell Development
- (2014) Sean C. Bendall et al. CELL
- Reconstruction of the Mouse Otocyst and Early Neuroblast Lineage at Single-Cell Resolution
- (2014) Robert Durruthy-Durruthy et al. CELL
- BLIND ordering of large-scale transcriptomic developmental timecourses
- (2014) L. Anavy et al. DEVELOPMENT
- Cell cycle population effects in perturbation studies
- (2014) E. O'Duibhir et al. Molecular Systems Biology
- Spatiotemporal transcriptomics reveals the evolutionary history of the endoderm germ layer
- (2014) Tamar Hashimshony et al. NATURE
- The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells
- (2014) Cole Trapnell et al. NATURE BIOTECHNOLOGY
- Highly Multiplexed Subcellular RNA Sequencing in Situ
- (2014) J. H. Lee et al. SCIENCE
- Massively Parallel Single-Cell RNA-Seq for Marker-Free Decomposition of Tissues into Cell Types
- (2014) D. A. Jaitin et al. SCIENCE
- A rapid and massive gene expression shift marking adolescent transition in C. elegans
- (2014) L. Basten Snoek et al. Scientific Reports
- Detecting regulatory gene–environment interactions with unmeasured environmental factors
- (2013) Nicoló Fusi et al. BIOINFORMATICS
- DeMix: deconvolution for mixed cancer transcriptomes using raw measured data
- (2013) Jaeil Ahn et al. BIOINFORMATICS
- The effects of genetic variation on gene expression dynamics during development
- (2013) Mirko Francesconi et al. NATURE
- viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia
- (2013) El-ad David Amir et al. NATURE BIOTECHNOLOGY
- Quantitative single-cell RNA-seq with unique molecular identifiers
- (2013) Saiful Islam et al. NATURE METHODS
- Accounting for technical noise in single-cell RNA-seq experiments
- (2013) Philip Brennecke et al. NATURE METHODS
- Smart-seq2 for sensitive full-length transcriptome profiling in single cells
- (2013) Simone Picelli et al. NATURE METHODS
- A Statistical Framework for Joint eQTL Analysis in Multiple Tissues
- (2013) Timothée Flutre et al. PLoS Genetics
- Impact of Natural Genetic Variation on Gene Expression Dynamics
- (2013) Marit Ackermann et al. PLoS Genetics
- Genotype-Environment Interactions Reveal Causal Pathways That Mediate Genetic Effects on Phenotype
- (2013) Julien Gagneur et al. PLoS Genetics
- Using probabilistic estimation of expression residuals (PEER) to obtain increased power and interpretability of gene expression analyses
- (2012) Oliver Stegle et al. Nature Protocols
- CEL-Seq: Single-Cell RNA-Seq by Multiplexed Linear Amplification
- (2012) Tamar Hashimshony et al. Cell Reports
- Joint Modelling of Confounding Factors and Prominent Genetic Regulators Provides Increased Accuracy in Genetical Genomics Studies
- (2012) Nicoló Fusi et al. PLoS Computational Biology
- Using control genes to correct for unwanted variation in microarray data
- (2011) J. A. Gagnon-Bartsch et al. BIOSTATISTICS
- Extracting a cellular hierarchy from high-dimensional cytometry data with SPADE
- (2011) Peng Qiu et al. NATURE BIOTECHNOLOGY
- Single-Cell Mass Cytometry of Differential Immune and Drug Responses Across a Human Hematopoietic Continuum
- (2011) S. C. Bendall et al. SCIENCE
- Discovering Biological Progression Underlying Microarray Samples
- (2011) Peng Qiu et al. PLoS Computational Biology
- Joint Genetic Analysis of Gene Expression Data with Inferred Cellular Phenotypes
- (2011) Leopold Parts et al. PLoS Genetics
- Statistical expression deconvolution from mixed tissue samples
- (2010) J. Clarke et al. BIOINFORMATICS
- Cell type–specific gene expression differences in complex tissues
- (2010) Shai S Shen-Orr et al. NATURE METHODS
- Selection at Linked Sites Shapes Heritable Phenotypic Variation in C. elegans
- (2010) M. V. Rockman et al. SCIENCE
- A Bayesian Framework to Account for Complex Non-Genetic Factors in Gene Expression Levels Greatly Increases Power in eQTL Studies
- (2010) Oliver Stegle et al. PLoS Computational Biology
- Deconvolution of Blood Microarray Data Identifies Cellular Activation Patterns in Systemic Lupus Erythematosus
- (2009) Alexander R. Abbas et al. PLoS One
- Predicting Cellular Growth from Gene Expression Signatures
- (2009) Edoardo M. Airoldi et al. PLoS Computational Biology
- Coordination of Growth Rate, Cell Cycle, Stress Response, and Metabolic Activity in Yeast
- (2007) Matthew J. Brauer et al. MOLECULAR BIOLOGY OF THE CELL
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