BOMA, a machine-learning framework for comparative gene expression analysis across brains and organoids.
Ontology highlight
ABSTRACT: Our machine-learning framework, brain and organoid manifold alignment (BOMA), first performs a global alignment of developmental gene expression data between brains and organoids. It then applies manifold learning to locally refine the alignment, revealing conserved and specific developmental trajectories across brains and organoids. Using BOMA, we found that human cortical organoids better align with certain brain cortical regions than with other non-cortical regions, implying organoid-preserved developmental gene expression programs specific to brain regions. Additionally, our alignment of non-human primate and human brains reveals highly conserved gene expression around birth. Also, we integrated and analyzed developmental single-cell RNA sequencing (scRNA-seq) data of human brains and
SUBMITTER: He C
PROVIDER: S-EPMC10014309 | biostudies-literature | 2023 Feb
REPOSITORIES: biostudies-literature
ACCESS DATA