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Lineage Tracing and Clonal Analysis in Developing Cerebral Cortex Using Mosaic Analysis with Double Markers MADM

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Robust lineage reconstruction from high-dimensional single-cell data.

Gregory Giecold¹, Eugenio Marco¹, Sara P Garcia¹

¹Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.

Nucleic Acids Research

|May 22, 2016

Summary

This summary is machine-generated.

We developed ECLAIR, a new computational method for cell lineage reconstruction from single-cell gene expression data. ECLAIR improves prediction robustness and quantifies uncertainty, overcoming limitations in current methods.

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Area of Science:

Bioinformatics and Computational Biology
Developmental Biology
Genomics

Background:

Single-cell gene expression data are crucial for understanding cellular hierarchies.
Current cell lineage reconstruction methods often neglect technological uncertainties.
Robust lineage inference remains a significant challenge in single-cell data analysis.

Purpose of the Study:

To introduce ECLAIR (Ensemble Cell Lineage Analysis with Improved Robustness), a novel computational method.
To address the uncertainty inherent in cell lineage reconstruction from single-cell data.
To provide a robust and accurate tool for inferring cell lineage relationships.

Main Methods:

ECLAIR employs an ensemble approach for statistical inference of cell lineage relationships.
The method utilizes single-cell gene expression data as input.
It provides a quantitative estimate of the uncertainty associated with lineage branching predictions.

Main Results:

ECLAIR successfully reconstructs known lineage relationships in published datasets.
The method significantly enhances the robustness of lineage predictions compared to existing approaches.
Quantitative uncertainty estimates improve the reliability of inferred cell lineages.

Conclusions:

ECLAIR is a powerful bioinformatics tool for robust cell lineage reconstruction.
The method effectively handles uncertainties in single-cell gene expression data.
ECLAIR offers quantitative accuracy assessments for lineage predictions, advancing single-cell data analysis.