Models (4)
A zebrafish DNA sequence-to-function model predicting cell-type-specific single-cell expression across 85 cell-type x developmental-timepoint combinations during embryogenesis.
A 1.2-billion-parameter hierarchical transformer that predicts personalized gene expression from diploid genomes, integrating individual genetic variants for ancestry-robust eQTL analysis.
GREmLN
Chan Zuckerberg Initiative / Columbia University / Chan Zuckerberg Biohub
Released July 9, 2025
A graph-signal-processing foundation model that embeds gene regulatory network structure directly into its attention mechanism for parameter-efficient single-cell transcriptomics.
A suite of virtual staining models that translate label-free microscopy images into fluorescent-equivalent staining of nuclei and plasma membranes.