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destiny: diffusion maps for large-scale single cell data in R
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OEFinder: a user interface to identify and visualize ordering effects in single-cell RNA-seq data
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Dr.seq: a quality control and analysis pipeline for droplet sequencing
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CellTree: an R/bioconductor package to infer the hierarchical structure of cell populations from single-cell RNA-seq data
David A. duVerle et al.
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Characterizing transcriptional heterogeneity through pathway and gene set overdispersion analysis
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Keegan D. Korthauer et al.
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Sincell: an R/Bioconductor package for statistical assessment of cell-state hierarchies from single-cell RNA-seq
Miguel Julia et al.
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Identification of cell types from single-cell transcriptomes using a novel clustering method
Chen Xu et al.
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Droplet Barcoding for Single-Cell Transcriptomics Applied to Embryonic Stem Cells
Allon M. Klein et al.
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Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets
Evan Z. Macosko et al.
CELL (2015)
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Jaehoon Shin et al.
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Dominic Grun et al.
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Jason D. Buenostro et al.
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Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells
Florian Buettner et al.
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Single-cell ChIP-seq reveals cell subpopulations defined by chromatin state
Assaf Rotem et al.
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Oscope identifies oscillatory genes in unsynchronized single-cell RNA-seq experiments
Ning Leng et al.
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Cell types in the mouse cortex and hippocampus revealed by single-cell RNA-seq
Amit Zeisel et al.
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Combinatorial labeling of single cells for gene expression cytometry
H. Christina Fan et al.
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BASiCS: Bayesian Analysis of Single-Cell Sequencing Data
Catalina A. Vallejos et al.
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SINCERA: A Pipeline for Single-Cell RNA-Seq Profiling Analysis
Minzhe Guo et al.
PLOS COMPUTATIONAL BIOLOGY (2015)
MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data
Greg Finak et al.
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ZIFA: Dimensionality reduction for zero-inflated single-cell gene expression analysis
Emma Pierson et al.
GENOME BIOLOGY (2015)
Single-Cell Trajectory Detection Uncovers Progression and Regulatory Coordination in Human B Cell Development
Sean C. Bendall et al.
CELL (2014)
The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells
Cole Trapnell et al.
NATURE BIOTECHNOLOGY (2014)
Bayesian approach to single-cell differential expression analysis
Peter V. Kharchenko et al.
NATURE METHODS (2014)
Bifurcation analysis of single-cell gene expression data reveals epigenetic landscape
Eugenio Marco et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2014)
Massively Parallel Single-Cell RNA-Seq for Marker-Free Decomposition of Tissues into Cell Types
Diego Adhemar Jaitin et al.
SCIENCE (2014)
RSeQC: quality control of RNA-seq experiments
Liguo Wang et al.
BIOINFORMATICS (2012)
CEAS: cis-regulatory element annotation system
Hyunjin Shin et al.
BIOINFORMATICS (2009)
Model-based Analysis of ChIP-Seq (MACS)
Yong Zhang et al.
GENOME BIOLOGY (2008)