标题
Investigating higher-order interactions in single-cell data with scHOT
作者
关键词
-
出版物
NATURE METHODS
Volume 17, Issue 8, Pages 799-806
出版商
Springer Science and Business Media LLC
发表日期
2020-07-14
DOI
10.1038/s41592-020-0885-x
参考文献
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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。- Trajectory-based differential expression analysis for single-cell sequencing data
- (2020) Koen Van den Berge et al. Nature Communications
- A single-cell molecular map of mouse gastrulation and early organogenesis
- (2019) Blanca Pijuan-Sala et al. NATURE
- The single-cell transcriptional landscape of mammalian organogenesis
- (2019) Junyue Cao et al. NATURE
- scMerge leverages factor analysis, stable expression, and pseudoreplication to merge multiple single-cell RNA-seq datasets
- (2019) Yingxin Lin et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Gene expression atlas of a developing tissue by single cell expression correlation analysis
- (2019) Josephine Bageritz et al. NATURE METHODS
- A Single-Cell Transcriptomic Atlas of Human Neocortical Development during Mid-gestation
- (2019) Damon Polioudakis et al. NEURON
- Gene expression cartography
- (2019) Mor Nitzan et al. NATURE
- Drugs modulating stochastic gene expression affect the erythroid differentiation process
- (2019) Anissa Guillemin et al. PLoS One
- A descriptive marker gene approach to single-cell pseudotime inference
- (2018) Kieran R Campbell et al. BIOINFORMATICS
- Evaluating methods of inferring gene regulatory networks highlights their lack of performance for single cell gene expression data
- (2018) Shuonan Chen et al. BMC BIOINFORMATICS
- Slingshot: cell lineage and pseudotime inference for single-cell transcriptomics
- (2018) Kelly Street et al. BMC GENOMICS
- SpatialDE: identification of spatially variable genes
- (2018) Valentine Svensson et al. NATURE METHODS
- Iterative random forests to discover predictive and stable high-order interactions
- (2018) Sumanta Basu et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- The dynamics of gene expression in vertebrate embryogenesis at single-cell resolution
- (2018) James A. Briggs et al. SCIENCE
- Single-cell mapping of gene expression landscapes and lineage in the zebrafish embryo
- (2018) Daniel E. Wagner et al. SCIENCE
- DCARS: differential correlation across ranked samples
- (2018) Shila Ghazanfar et al. BIOINFORMATICS
- The Gene Ontology Resource: 20 years and still GOing strong
- (2018) NUCLEIC ACIDS RESEARCH
- Histone Acetyltransferase KAT2A Stabilizes Pluripotency with Control of Transcriptional Heterogeneity
- (2018) Naomi Moris et al. STEM CELLS
- Haematopoietic stem cells: entropic landscapes of differentiation
- (2018) K. Wiesner et al. Interface Focus
- A single-cell transcriptomic analysis reveals precise pathways and regulatory mechanisms underlying hepatoblast differentiation
- (2017) Li Yang et al. HEPATOLOGY
- Multilineage communication regulates human liver bud development from pluripotency
- (2017) J. Gray Camp et al. NATURE
- Reversed graph embedding resolves complex single-cell trajectories
- (2017) Xiaojie Qiu et al. NATURE METHODS
- Dynamics of lineage commitment revealed by single-cell transcriptomics of differentiating embryonic stem cells
- (2017) Stefan Semrau et al. Nature Communications
- Single-Cell Landscape of Transcriptional Heterogeneity and Cell Fate Decisions during Mouse Early Gastrulation
- (2017) Hisham Mohammed et al. Cell Reports
- Stem Cell Differentiation as a Non-Markov Stochastic Process
- (2017) Patrick S. Stumpf et al. Cell Systems
- Characterizing mutation–expression network relationships in multiple cancers
- (2016) Shila Ghazanfar et al. COMPUTATIONAL BIOLOGY AND CHEMISTRY
- Dissecting direct reprogramming from fibroblast to neuron using single-cell RNA-seq
- (2016) Barbara Treutlein et al. NATURE
- Diffusion pseudotime robustly reconstructs lineage branching
- (2016) Laleh Haghverdi et al. NATURE METHODS
- Visualization and analysis of gene expression in tissue sections by spatial transcriptomics
- (2016) P. L. Stahl et al. SCIENCE
- Single-Cell-Based Analysis Highlights a Surge in Cell-to-Cell Molecular Variability Preceding Irreversible Commitment in a Differentiation Process
- (2016) Angélique Richard et al. PLOS BIOLOGY
- Cell Fate Decision as High-Dimensional Critical State Transition
- (2016) Mitra Mojtahedi et al. PLOS BIOLOGY
- Spatially resolved, highly multiplexed RNA profiling in single cells
- (2015) K. H. Chen et al. SCIENCE
- Association of zero-inflated continuous variables
- (2015) Ronald S. Pimentel et al. STATISTICS & PROBABILITY LETTERS
- Arrestin-dependent Angiotensin AT1Receptor Signaling Regulates Akt and mTor-mediated Protein Synthesis
- (2014) Ryan T. Kendall et al. JOURNAL OF BIOLOGICAL CHEMISTRY
- The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells
- (2014) Cole Trapnell et al. NATURE BIOTECHNOLOGY
- Single-cell in situ RNA profiling by sequential hybridization
- (2014) Eric Lubeck et al. NATURE METHODS
- Accounting for technical noise in single-cell RNA-seq experiments
- (2013) Philip Brennecke et al. NATURE METHODS
- Spatiotemporal Characterization of mTOR Kinase Activity Following Kainic Acid Induced Status Epilepticus and Analysis of Rat Brain Response to Chronic Rapamycin Treatment
- (2013) Matylda Macias et al. PLoS One
- Gene regulation and priming by topoisomerase IIα in embryonic stem cells
- (2013) Sudhir Thakurela et al. Nature Communications
- Mouse hepatoblasts at distinct developmental stages are characterized by expression of EpCAM and DLK1: Drastic change of EpCAM expression during liver development
- (2009) Minoru Tanaka et al. MECHANISMS OF DEVELOPMENT
- Sall4 Regulates Cell Fate Decision in Fetal Hepatic Stem/Progenitor Cells
- (2008) Tsunekazu Oikawa et al. GASTROENTEROLOGY
- Identification of Novel Human Cdt1-binding Proteins by a Proteomics Approach: Proteolytic Regulation by APC/CCdh1
- (2007) Nozomi Sugimoto et al. MOLECULAR BIOLOGY OF THE CELL
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