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Observation weights unlock bulk RNA-seq tools for zero inflation and single-cell applications.

author

Michael I Love

Davide Risso

Mark D. Robinson

Koen Van den Berge

Charlotte Soneson

Fanny Perraudeau

Sandrine Dudoit

published in: Genome Biology

date of publication: 2018-02-26

main subject: RNA sequencing, single-cell RNA-seq

Cites articles 52

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2018-02-01

Towards unified quality verification of synthetic count data with countsimQC.

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2018-01-18

A general and flexible method for signal extraction from single-cell RNA-seq data

Jean-Philippe Vert, Davide Risso, Sandrine Dudoit
2018-04-02

Integrating single-cell transcriptomic data across different conditions, technologies, and species

Paul J Hoffman, Rahul Satija, Efthymia Papalexi, Peter Smibert
2018-06-19

Slingshot: cell lineage and pseudotime inference for single-cell transcriptomics

Davide Risso, Diya Das, Sandrine Dudoit, John Ngai
2017-09-01

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Comparative Analysis of Single-Cell RNA Sequencing Methods

Christoph Ziegenhain, Beate Vieth, Swati Parekh, Björn Reinius, Holger Heyn, Wolfgang Enard, Ines Hellmann
2017-03-01

Single-cell RNA-seq and computational analysis using temporal mixture modelling resolves Th1/Tfh fate bifurcation in malaria

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Single-Cell RNA-Seq Analysis Maps Development of Human Germline Cells and Gonadal Niche Interactions

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2017-05-15

Normalizing single-cell RNA sequencing data: challenges and opportunities

John Marioni, Catalina A Vallejos, Antonio Scialdone, Davide Risso, Sandrine Dudoit
2017-08-21

Reversed graph embedding resolves complex single-cell trajectories

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2017-11-15

xCell: digitally portraying the tissue cellular heterogeneity landscape.

Dvir Aran, Atul Butte
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iCOBRA: open, reproducible, standardized and live method benchmarking

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CEL-Seq2: sensitive highly-multiplexed single-cell RNA-Seq

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Assessment and Selection of Competing Models for Zero-Inflated Microbiome Data

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2015-10-01

Single Cell RNA-Sequencing of Pluripotent States Unlocks Modular Transcriptional Variation

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voom: Precision weights unlock linear model analysis tools for RNA-seq read counts

Gordon K Smyth
2014-03-23

The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells

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Robustly detecting differential expression in RNA sequencing data using observation weights

Mark D. Robinson, Helen Lindsay

Article - wd:Q52686442

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