4.8 Article

SCnorm: robust normalization of single-cell RNA-seq data

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Letter Biotechnology & Applied Microbiology

The contribution of cell cycle to heterogeneity in single-cell RNA-seq data

Andrew McDavid et al.

NATURE BIOTECHNOLOGY (2016)

Article Biotechnology & Applied Microbiology

Pooling across cells to normalize single-cell RNA sequencing data with many zero counts

Aaron T. L. Lun et al.

GENOME BIOLOGY (2016)

Review Biotechnology & Applied Microbiology

Design and computational analysis of single-cell RNA-sequencing experiments

Rhonda Bacher et al.

GENOME BIOLOGY (2016)

Review Biotechnology & Applied Microbiology

A survey of best practices for RNA-seq data analysis

Ana Conesa et al.

GENOME BIOLOGY (2016)

Article Biotechnology & Applied Microbiology

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

Florian Buettner et al.

NATURE BIOTECHNOLOGY (2015)

Article Biochemical Research Methods

Oscope identifies oscillatory genes in unsynchronized single-cell RNA-seq experiments

Ning Leng et al.

NATURE METHODS (2015)

Article Multidisciplinary Sciences

A cost-effective RNA sequencing protocol for large-scale gene expression studies

Zhonggang Hou et al.

SCIENTIFIC REPORTS (2015)

Article Biochemical Research Methods

BASiCS: Bayesian Analysis of Single-Cell Sequencing Data

Catalina A. Vallejos et al.

PLOS COMPUTATIONAL BIOLOGY (2015)

Article Biochemical Research Methods

HTSeq-a Python framework to work with high-throughput sequencing data

Simon Anders et al.

BIOINFORMATICS (2015)

Article Biochemistry & Molecular Biology

Cyclebase 3.0: a multi-organism database on cell-cycle regulation and phenotypes

Alberto Santos et al.

NUCLEIC ACIDS RESEARCH (2015)

Article Biochemical Research Methods

Bayesian approach to single-cell differential expression analysis

Peter V. Kharchenko et al.

NATURE METHODS (2014)

Article Biochemical Research Methods

GC-Content Normalization for RNA-Seq Data

Davide Risso et al.

BMC BIOINFORMATICS (2011)

Article Biochemical Research Methods

RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome

Bo Li et al.

BMC BIOINFORMATICS (2011)

Article Biochemistry & Molecular Biology

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

Saiful Islam et al.

GENOME RESEARCH (2011)

Article Biochemical Research Methods

Chemically defined conditions for human iPSC derivation and culture

Guokai Chen et al.

NATURE METHODS (2011)

Article Biotechnology & Applied Microbiology

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

Mark D. Robinson et al.

GENOME BIOLOGY (2010)

Article Biotechnology & Applied Microbiology

Differential expression analysis for sequence count data

Simon Anders et al.

GENOME BIOLOGY (2010)

Article Biotechnology & Applied Microbiology

Ultrafast and memory-efficient alignment of short DNA sequences to the human genome

Ben Langmead et al.

GENOME BIOLOGY (2009)

Article Biochemistry & Molecular Biology

Visualizing spatiotemporal dynamics of multicellular cell-cycle progression

Asako Sakaue-Sawano et al.

Article Mathematical & Computational Biology

Adjusting batch effects in microarray expression data using empirical Bayes methods

W. Evan Johnson et al.

BIOSTATISTICS (2007)