An Introduction to the Analysis of Single-Cell RNA-Sequencing Data

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An Introduction to the Analysis of Single-Cell RNA-Sequencing Data

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wetenschappelijk artikel

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наукова стаття, опублікована у вересні 2018

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An Introduction to the Analysis of Single-Cell RNA-Sequencing Data

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An Introduction to the Analysis of Single-Cell RNA-Sequencing Data

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An Introduction to the Analysis of Single-Cell RNA-Sequencing Data

@en

An Introduction to the Analysis of Single-Cell RNA-Sequencing Data

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An Introduction to the Analysis of Single-Cell RNA-Sequencing Data

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An Introduction to the Analysis of Single-Cell RNA-Sequencing Data

@nl

P1476

An Introduction to the Analysis of Single-Cell RNA-Sequencing Data

@en

P2093

Aisha A AlJanahi

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Cynthia E Dunbar

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Mark Danielsen

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P2860

Characterization of the single-cell transcriptional landscape by highly multiplex RNA-seq

A scaling normalization method for differential expression analysis of RNA-seq data

Full-length mRNA-Seq from single-cell levels of RNA and individual circulating tumor cells.

GAPDH as a housekeeping gene: analysis of GAPDH mRNA expression in a panel of 72 human tissues

Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

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

limma powers differential expression analyses for RNA-sequencing and microarray studies

viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia.

Reverse transcriptase template switching: a SMART approach for full-length cDNA library construction.

Robustly detecting differential expression in RNA sequencing data using observation weights.

P304

189-196

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P31

scholarly article

P356

10.1016/J.OMTM.2018.07.003

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P407

English

P478

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P577

2018-09-21T00:00:00Z

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P698

30094294

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P932

6072887

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