Characterizing the replicability of cell types defined by single cell RNA-sequencing data using MetaNeighbor
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Characterizing the replicability of cell types defined by single cell RNA-sequencing data using MetaNeighbor
Authors
Keywords
-
Journal
Nature Communications
Volume 9, Issue 1, Pages -
Publisher
Springer Nature
Online
2018-02-23
DOI
10.1038/s41467-018-03282-0
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A molecular census of arcuate hypothalamus and median eminence cell types
- (2017) John N Campbell et al. NATURE NEUROSCIENCE
- Using neural networks for reducing the dimensions of single-cell RNA-Seq data
- (2017) Chieh Lin et al. NUCLEIC ACIDS RESEARCH
- EGAD: ultra-fast functional analysis of gene networks
- (2016) Sara Ballouz et al. BIOINFORMATICS
- Molecular Diversity of Midbrain Development in Mouse, Human, and Stem Cells
- (2016) Gioele La Manno et al. CELL
- Comprehensive Classification of Retinal Bipolar Neurons by Single-Cell Transcriptomics
- (2016) Karthik Shekhar et al. CELL
- RNA Sequencing of Single Human Islet Cells Reveals Type 2 Diabetes Genes
- (2016) Yurong Xin et al. Cell Metabolism
- Single-Cell Transcriptome Profiling of Human Pancreatic Islets in Health and Type 2 Diabetes
- (2016) Åsa Segerstolpe et al. Cell Metabolism
- Single-Cell Transcriptomics of the Human Endocrine Pancreas
- (2016) Yue J. Wang et al. DIABETES
- Revealing the vectors of cellular identity with single-cell genomics
- (2016) Allon Wagner et al. NATURE BIOTECHNOLOGY
- Disentangling neural cell diversity using single-cell transcriptomics
- (2016) Jean-Francois Poulin et al. NATURE NEUROSCIENCE
- Adult mouse cortical cell taxonomy revealed by single cell transcriptomics
- (2016) Bosiljka Tasic et al. NATURE NEUROSCIENCE
- Strategies and Tools for Combinatorial Targeting of GABAergic Neurons in Mouse Cerebral Cortex
- (2016) Miao He et al. NEURON
- Single-cell RNAseq reveals cell adhesion molecule profiles in electrophysiologically defined neurons
- (2016) Csaba Földy et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Div-Seq: Single-nucleus RNA-Seq reveals dynamics of rare adult newborn neurons
- (2016) Naomi Habib et al. SCIENCE
- Low Dimensionality in Gene Expression Data Enables the Accurate Extraction of Transcriptional Programs from Shallow Sequencing
- (2016) Graham Heimberg et al. Cell Systems
- A Single-Cell Transcriptome Atlas of the Human Pancreas
- (2016) Mauro J. Muraro et al. Cell Systems
- A Single-Cell Transcriptomic Map of the Human and Mouse Pancreas Reveals Inter- and Intra-cell Population Structure
- (2016) Maayan Baron et al. Cell Systems
- Guidance for RNA-seq co-expression network construction and analysis: safety in numbers
- (2015) S. Ballouz et al. BIOINFORMATICS
- Droplet Barcoding for Single-Cell Transcriptomics Applied to Embryonic Stem Cells
- (2015) Allon M. Klein et al. CELL
- Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets
- (2015) Evan Z. Macosko et al. CELL
- Somatosensory neuron types identified by high-coverage single-cell RNA-sequencing and functional heterogeneity
- (2015) Chang-Lin Li et al. CELL RESEARCH
- Single‐cell transcriptomes reveal characteristic features of human pancreatic islet cell types
- (2015) Jin Li et al. EMBO REPORTS
- The Technology and Biology of Single-Cell RNA Sequencing
- (2015) Aleksandra A. Kolodziejczyk et al. MOLECULAR CELL
- Single-cell messenger RNA sequencing reveals rare intestinal cell types
- (2015) Dominic Grün et al. NATURE
- 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
- Integration of electrophysiological recordings with single-cell RNA-seq data identifies neuronal subtypes
- (2015) János Fuzik et al. NATURE BIOTECHNOLOGY
- Single-cell transcriptomics reveals receptor transformations during olfactory neurogenesis
- (2015) N. K. Hanchate et al. SCIENCE
- Cell types in the mouse cortex and hippocampus revealed by single-cell RNA-seq
- (2015) A. Zeisel et al. SCIENCE
- BASiCS: Bayesian Analysis of Single-Cell Sequencing Data
- (2015) Catalina A. Vallejos et al. PLoS Computational Biology
- Deep sequencing reveals cell-type-specific patterns of single-cell transcriptome variation
- (2015) Hannah Dueck et al. GENOME BIOLOGY
- Identification of Distinct Tumor Subpopulations in Lung Adenocarcinoma via Single-Cell RNA-seq
- (2015) Jae-Woong Min et al. PLoS One
- Reconstructing lineage hierarchies of the distal lung epithelium using single-cell RNA-seq
- (2014) Barbara Treutlein et al. NATURE
- Unbiased classification of sensory neuron types by large-scale single-cell RNA sequencing
- (2014) Dmitry Usoskin et al. NATURE NEUROSCIENCE
- Accounting for technical noise in single-cell RNA-seq experiments
- (2013) Philip Brennecke et al. NATURE METHODS
- Most Random Gene Expression Signatures Are Significantly Associated with Breast Cancer Outcome
- (2011) David Venet et al. PLoS Computational Biology
- Rational association of genes with traits using a genome-scale gene network for Arabidopsis thaliana
- (2010) Insuk Lee et al. NATURE BIOTECHNOLOGY
- The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models
- (2010) NATURE BIOTECHNOLOGY
- The Psychiatric GWAS Consortium: Big Science Comes to Psychiatry
- (2010) Patrick F. Sullivan NEURON
- 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
- Petilla terminology: nomenclature of features of GABAergic interneurons of the cerebral cortex
- (2008) NATURE REVIEWS NEUROSCIENCE
- A critical assessment of Mus musculus gene function prediction using integrated genomic evidence
- (2008) Lourdes Peña-Castillo et al. GENOME BIOLOGY
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now