Spencer Krieger

LO_SCPLOWLOKIC_SCPLOW integrates spatial transcriptomics data across platforms without shared gene panels, improving cross-technology spatial gene program identification and tissue alignment.

MIMYR reconstructs missing tissue regions in spatial transcriptomics data using a generative framework that predicts cell locations, assigns cell types, and generates gene expression profiles.

This paper introduces HO_SCPLOWEIMDALLC_SCPLOW, a framework to analyze tokenizer design in scFMs, showing that specific tokenization choices improve generalization under distribution shift.

EO_SCPLOWYKTHYRC_SCPLOW identifies spatial transcriptional regulators by integrating gene expression and chromatin accessibility in spatial multiome data, outperforming existing methods in mouse brain and tumor datasets.