ECLAIR

ECLAIR (Ensemble Cell Lineage Analysis with Improved Robustness) is a computational method for inferring cell lineage relationships from single-cell gene expression data. It addresses the significant challenge of uncertainty in cell lineage reconstruction. This uncertainty often arises from technological limitations inherent in single-cell sequencing technologies, which has been a considerable obstacle in accurately characterizing cellular hierarchies within multicellular organisms.

To tackle these challenges, ECLAIR employs an ensemble approach that enhances the robustness of lineage predictions. Unlike traditional methods, which may not adequately account for uncertainties in lineage branchings, ECLAIR provides a quantitative estimate of this uncertainty, offering a more reliable and insightful analysis of cell lineage relationships. This feature is particularly valuable for biologists and researchers looking to understand the complex developmental processes of cells within an organism, as it allows for a more nuanced interpretation of how individual cells relate to one another regarding their lineage.

Topic

Transcriptomics

Detail

  • Operation: Expression data visualisation;Expression profile clustering

  • Software interface: Library

  • Language: Python

  • License: The MIT License

  • Cost: Free with restrictions

  • Version name: -

  • Credit: Claudia Barr Award and NIH.

  • Input: Gene expression matrix [TSV]

  • Output: Image [PDF], Clustered expression profiles [Matrix format]

  • Contact: Guo-Cheng Yuan gcyuan@jimmy.harvard.edu

  • Collection: -

  • Maturity: Emerging

Publications

  • Robust lineage reconstruction from high-dimensional single-cell data.
  • Giecold G, et al. Robust lineage reconstruction from high-dimensional single-cell data. Robust lineage reconstruction from high-dimensional single-cell data. 2016; 44:e122. doi: 10.1093/nar/gkw452
  • https://doi.org/10.1093/nar/gkw452
  • PMID: 27207878
  • PMC: PMC5001598

Download and documentation


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