(Q38291723)

1 September 2017

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title

Quantitative single-cell approaches to stem cell research (English)

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1 September 2017

Martin Etzrodt

1

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Timm Schroeder

object named as

Timm Schroeder

series ordinal

3

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author name string

Max Endele

series ordinal

2

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1 September 2017

language of work or name

English

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publication date

6 November 2014

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1 September 2017

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volume

15

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1 September 2017

issue

5

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page(s)

546-558

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Single-cell RNA-seq reveals dynamic, random monoallelic gene expression in mammalian cells

1 September 2017

cites work

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24 May 2022

https://opencitations.net/index/coci/api/v1/citations/10.1126/SCIENCE.1245316

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

1 reference

24 May 2022

https://opencitations.net/index/coci/api/v1/citations/10.1016/J.CELL.2012.08.023

Single-cell RNA-seq reveals dynamic paracrine control of cellular variation

1 reference

24 May 2022

https://opencitations.net/index/coci/api/v1/citations/10.1038/NATURE13437

Single-cell transcriptomics reveals bimodality in expression and splicing in immune cells

1 reference

24 May 2022

https://opencitations.net/index/coci/api/v1/citations/10.1038/NATURE12172

Massively parallel single-cell RNA-seq for marker-free decomposition of tissues into cell types

1 reference

24 May 2022

https://opencitations.net/index/coci/api/v1/citations/10.1126/SCIENCE.1247651

Single-cell RNA-Seq profiling of human preimplantation embryos and embryonic stem cells

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24 May 2022

https://opencitations.net/index/coci/api/v1/citations/10.1038/NSMB.2660

Identifiers

DOI

10.1016/J.STEM.2014.10.015

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1 September 2017

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