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Volker Bergen et al.
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Thinh N. Tran et al.
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Lisa N. Waylen et al.
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Christine E. Eyler et al.
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MOFA plus : a statistical framework for comprehensive integration of multi-modal single-cell data
Ricard Argelaguet et al.
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David Laehnemann et al.
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Laura Gonzalez-Silva et al.
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Leif S. Ludwig et al.
CELL (2019)
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Geoffrey Schiebinger et al.
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The single-cell transcriptional landscape of mammalian organogenesis
Junyue Cao et al.
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Characterization of cell fate probabilities in single-cell data with Palantir
Manu Setty et al.
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Integrative single-cell analysis
Tim Stuart et al.
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A comparison of single-cell trajectory inference methods
Wouter Saelens et al.
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Inferring population dynamics from single-cell RNA-sequencing time series data
David S. Fischer et al.
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Joint analysis of heterogeneous single-cell RNA-seq dataset collections
Nikolas Barkas et al.
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A comprehensive single cell transcriptional landscape of human hematopoietic progenitors
Danilo Pellin et al.
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Murine single-cell RNA-seq reveals cell-identity- and tissue-specific trajectories of aging
Jacob C. Kimmel et al.
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High-throughput sequencing of the transcriptome and chromatin accessibility in the same cell
Song Chen et al.
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Chloe S. Baron et al.
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Chenxu Zhu et al.
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Genomic encoding of transcriptional burst kinetics
Anton J. M. Larsson et al.
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F. William Townes et al.
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PAGA: graph abstraction reconciles clustering with trajectory inference through a topology preserving map of single cells
F. Alexander Wolf et al.
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Slingshot: cell lineage and pseudotime inference for single-cell transcriptomics
Kelly Street et al.
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Jason D. Buenrostro et al.
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Simultaneous single-cell profiling of lineages and cell types in the vertebrate brain
Bushra Raj et al.
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Alignment of single-cell trajectories to compare cellular expression dynamics
Ayelet Alpert et al.
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Caleb Weinreb et al.
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Gioele La Manno et al.
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Population snapshots predict early haematopoietic and erythroid hierarchies
Betsabeh Khoramian Tusi et al.
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Joint profiling of chromatin accessibility and gene expression in thousands of single cells
Junyue Cao et al.
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Davide Cacchiarelli et al.
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Single-cell mapping of lineage and identity in direct reprogramming
Brent A. Biddy et al.
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Reversed graph embedding resolves complex single-cell trajectories
Xiaojie Qiu et al.
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Manu Setty et al.
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Laleh Haghverdi et al.
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TSCAN: Pseudo-time reconstruction and evaluation in single-cell RNA-seq analysis
Zhicheng Ji et al.
NUCLEIC ACIDS RESEARCH (2016)
Determining Physical Mechanisms of Gene Expression Regulation from Single Cell Gene Expression Data
Daphne Ezer et al.
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Cole Trapnell et al.
NATURE BIOTECHNOLOGY (2014)
Coupled pre-mRNA and mRNA dynamics unveil operational strategies underlying transcriptional responses to stimuli
Amit Zeisel et al.
MOLECULAR SYSTEMS BIOLOGY (2011)
Noise in protein expression scales with natural protein abundance
Arren Bar-Even et al.
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Noise in gene expression: Origins, consequences, and control
JM Raser et al.
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