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Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues
Published on: January 10, 2019
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Publisher Correction: A general and flexible method for signal extraction from single-cell RNA-seq data
Davide Risso1, Fanny Perraudeau2, Svetlana Gribkova3
1Division of Biostatistics and Epidemiology, Department of Healthcare Policy and Research, Weill Cornell Medicine, New York, NY, 10065, USA.
Nature Communications
|February 6, 2019
Summary
This article corrects errors in published equations related to ZINB-WaVE estimation. The corrections ensure accurate representation of dispersion optimization in statistical models.
Area of Science:
- Statistical modeling
- Bioinformatics
- Computational biology
Background:
- ZINB-WaVE is a statistical method for analyzing single-cell RNA sequencing data.
- Accurate equations are crucial for the correct implementation and interpretation of ZINB-WaVE.
- Previous versions of the article contained errors in key equations.
Purpose of the Study:
- To report and correct inadvertent errors in published equations.
- To ensure the accuracy of the ZINB-WaVE estimation procedure.
- To provide corrected equations for the scientific community.
Main Methods:
- Identification of errors in specific equations (Eq. 1 and a dispersion optimization equation).
- Correction of omitted symbols (Γ and Ψ) in the identified equations.
- Verification of corrections in the PDF and HTML versions of the article.
Main Results:
- Omission of Γ symbols in Eq. (1) has been rectified.
- Omission of Ψ symbols in the dispersion optimization equation has been corrected.
- The HTML version accurately reflected the equations at publication.
Conclusions:
- The corrected equations ensure the integrity of ZINB-WaVE methodology.
- Accurate statistical models are vital for reliable biological data analysis.
- This erratum provides the definitive version of the ZINB-WaVE equations.

