SCNS: a graphical tool for reconstructing executable regulatory networks from single-cell genomic data.

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SCNS: a graphical tool for reconstructing executable regulatory networks from single-cell genomic data.

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SCNS: a graphical tool for rec ...... from single-cell genomic data.

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SCNS: a graphical tool for rec ...... from single-cell genomic data.

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SCNS: a graphical tool for rec ...... from single-cell genomic data.

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SCNS: a graphical tool for rec ...... from single-cell genomic data.

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SCNS: a graphical tool for rec ...... from single-cell genomic data.

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SCNS: a graphical tool for rec ...... from single-cell genomic data.

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P1476

SCNS: a graphical tool for rec ...... from single-cell genomic data

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P2093

Christoph M Wintersteiger

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Nir Piterman

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Steven Woodhouse

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P2860

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Reconstructing blood stem cell regulatory network models from single-cell molecular profiles

Systems biology. Conditional density-based analysis of T cell signaling in single-cell data.

Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells.

BTR: training asynchronous Boolean models using single-cell expression data.

Single-cell expression analyses during cellular reprogramming reveal an early stochastic and a late hierarchic phase.

Single-cell analyses of regulatory network perturbations using enhancer-targeting TALEs suggest novel roles for PU.1 during haematopoietic specification

Genetic programs in human and mouse early embryos revealed by single-cell RNA sequencing.

P2888

s12918-018-0581-y

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scholarly article

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10.1186/S12918-018-0581-Y

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P478

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Berthold Gottgens

Jasmin Fisher

P577

2018-05-25T00:00:00Z

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P6179

1104237806

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29801503

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5970485

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