Identifying and removing the cell-cycle effect from single-cell RNA-Sequencing data.
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A practical guide to single-cell RNA-sequencing for biomedical research and clinical applications.The Human Cell Atlas: Technical approaches and challenges.Transcriptomic analysis of the harvested endothelial cells in a swine model of mechanical thrombectomy.Analysis of Time-Series Gene Expression Data to Explore Mechanisms of Chemical-Induced Hepatic Steatosis Toxicity
P2860
Identifying and removing the cell-cycle effect from single-cell RNA-Sequencing data.
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2016 nî lūn-bûn
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2016 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
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2016 թվականի սեպտեմբերին հրատարակված գիտական հոդված
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2016年の論文
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2016年論文
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2016年論文
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2016年論文
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2016年論文
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2016年論文
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2016年论文
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name
Identifying and removing the cell-cycle effect from single-cell RNA-Sequencing data.
@ast
Identifying and removing the cell-cycle effect from single-cell RNA-Sequencing data.
@en
type
label
Identifying and removing the cell-cycle effect from single-cell RNA-Sequencing data.
@ast
Identifying and removing the cell-cycle effect from single-cell RNA-Sequencing data.
@en
prefLabel
Identifying and removing the cell-cycle effect from single-cell RNA-Sequencing data.
@ast
Identifying and removing the cell-cycle effect from single-cell RNA-Sequencing data.
@en
P2860
P356
P1433
P1476
Identifying and removing the cell-cycle effect from single-cell RNA-Sequencing data
@en
P2093
Martin Barron
P2860
P2888
P356
10.1038/SREP33892
P407
P50
P577
2016-09-27T00:00:00Z
P6179
1006527049
P698
P818
1605.04492