Qi Song

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.

The paper introduces SPmarker, an interpretable machine learning pipeline to identify new cell-type marker genes in Arabidopsis root single-cell RNA-seq data, finding hundreds of novel markers and expanding trichoblast markers across species.

This study develops ConSReg to predict condition-specific gene regulatory networks in Arabidopsis using genomic data, showing improved performance with ATAC-seq and identifying key regulators in root cell types.