Ensemblex

Ensemblex integrates four distinct algorithms in an accuracy-weighted ensemble framework to improve genetic demultiplexing accuracy for population-scale scRNAseq sample pooling.

Key Features:

• Ensemble integration: Combines four distinct genetic demultiplexing algorithms using accuracy weighting to identify the most probable subject labels.
• Accuracy-weighted framework: Weights component algorithms by their accuracy to optimize demultiplexing performance on highly multiplexed experiments.

Scientific Applications:

• Population-scale scRNAseq: Enables cost-effective population-scale single-cell RNA sequencing by improving demultiplexing accuracy in highly multiplexed sample pooling experiments.
• Donor-of-origin identification: Resolves the donor identity of pooled cells using natural genetic variation with improved accuracy over individual demultiplexing tools.

Methodology:

Ensemblex integrates four distinct genetic demultiplexing algorithms with accuracy weighting to identify the most probable subject labels for pooled cells.