Mo R. Ebrahimkhani

The paper introduces iDiscoid, a human stem cell model of post-implantation development that recapitulates key morphogenetic features and offers a platform for studying early human development.

PACNet enables platform-agnostic comparison of cell fate engineering protocols by analyzing transcriptomic data from multiple studies and identifying best practices and off-target effects.

The paper defines the single-cell spatiotemporal gene expression landscape of human embryonic development using stem-cell-derived organoids and identifies key developmental signatures and signaling pathways.

The paper introduces TraSig, a method that uses pseudotime ordering from scRNA-Seq data to improve the inference of cell-cell interactions by identifying ligand-receptor pairs with similar trajectories.