标题
SpatialDE: identification of spatially variable genes
作者
关键词
-
出版物
NATURE METHODS
Volume 15, Issue 5, Pages 343-346
出版商
Springer Nature
发表日期
2018-03-19
DOI
10.1038/nmeth.4636
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。- Spatial transcriptomic analysis of cryosectioned tissue samples with Geo-seq
- (2017) Jun Chen et al. Nature Protocols
- In Situ Transcription Profiling of Single Cells Reveals Spatial Organization of Cells in the Mouse Hippocampus
- (2016) Sheel Shah et al. NEURON
- g:Profiler—a web server for functional interpretation of gene lists (2016 update)
- (2016) Jüri Reimand et al. NUCLEIC ACIDS RESEARCH
- High-throughput single-cell gene-expression profiling with multiplexed error-robust fluorescence in situ hybridization
- (2016) Jeffrey R. Moffitt et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Visualization and analysis of gene expression in tissue sections by spatial transcriptomics
- (2016) P. L. Stahl et al. SCIENCE
- Quantitative approaches for investigating the spatial context of gene expression
- (2016) Je H. Lee Wiley Interdisciplinary Reviews-Systems Biology and Medicine
- MERVL/Zscan4 Network Activation Results in Transient Genome-wide DNA Demethylation of mESCs
- (2016) Mélanie A. Eckersley-Maslin et al. Cell Reports
- Measuring Absolute RNA Copy Numbers at High Temporal Resolution Reveals Transcriptome Kinetics in Development
- (2016) Nick D.L. Owens et al. Cell Reports
- Single-Cell RNA-Sequencing Reveals a Continuous Spectrum of Differentiation in Hematopoietic Cells
- (2016) Iain C. Macaulay et al. Cell Reports
- Control of Transcript Variability in Single Mammalian Cells
- (2015) Nico Battich et al. CELL
- 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
- Spatially resolved, highly multiplexed RNA profiling in single cells
- (2015) K. H. Chen et al. SCIENCE
- Methods for time series analysis of RNA-seq data with application to human Th17 cell differentiation
- (2014) Tarmo Äijö et al. BIOINFORMATICS
- Genome-wide RNA Tomography in the Zebrafish Embryo
- (2014) Jan Philipp Junker et al. CELL
- Identifying Cell Types from Spatially Referenced Single-Cell Expression Datasets
- (2014) Jean-Baptiste Pettit et al. PLoS Computational Biology
- Accounting for technical noise in single-cell RNA-seq experiments
- (2013) Philip Brennecke et al. NATURE METHODS
- Cancer: Destiny from density
- (2012) Victoria L. Seewaldt NATURE
- Genome-wide efficient mixed-model analysis for association studies
- (2012) Xiang Zhou et al. NATURE GENETICS
- A Simple Approach to Ranking Differentially Expressed Gene Expression Time Courses through Gaussian Process Regression
- (2011) Alfredo A Kalaitzis et al. BMC BIOINFORMATICS
- FaST linear mixed models for genome-wide association studies
- (2011) Christoph Lippert et al. NATURE METHODS
- A Robust Bayesian Two-Sample Test for Detecting Intervals of Differential Gene Expression in Microarray Time Series
- (2010) Oliver Stegle et al. JOURNAL OF COMPUTATIONAL BIOLOGY
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