Eliver Ghosn

Early-life human lymphopoiesis generates a distinct B-cell lineage

The paper identifies a distinct B-cell lineage generated during early human lymphopoiesis that shapes antibody specificity before birth.

Modeling human B cell development with pluripotent stem cells

This study generates functional B cells from human pluripotent stem cells, recapitulating B lymphopoiesis stages and enabling plasma cell differentiation for therapeutic applications.

Cell signaling pathways discovery from multi-modal data

The paper introduces Incytr, a method for discovering cell signaling pathways from multi-omics data, demonstrating its application in disease contexts and showing its utility for drug discovery and understanding cell communication.

Lifting the curse from high dimensional data: Automated projection pursuit clustering for the variety of biological data modalities

The paper introduces APP, a clustering method that reduces high-dimensional biological data to lower dimensions to improve clustering performance across multiple data types.

Comprehensive multi-omics single-cell data integration reveals greater heterogeneity in the human immune system

The paper introduces SuPERR-seq, a workflow for multi-omics single-cell data integration that improves cell-type classification and identifies novel immune cell subsets.

Data Matrix Normalization and Merging Strategies Minimize Batch-specific Systemic Variation in scRNA-Seq Data

The paper evaluates batch-effect correction methods in scRNA-seq by introducing a new metric and shows that optimized normalization and merging reduce the need for correction.