Nicholas Markarian

This paper develops a single-molecule fluorescence in situ hybridization workflow for whole-organism spatial transcriptomics in C. elegans, enabling single-cell resolution and multiplex gene profiling.

The paper introduces k-spaces, a probabilistic framework for simultaneous dimension reduction, clustering, and latent space learning, demonstrating its application in genomic settings.

The paper updates the Alliance of Genome Resources' central infrastructure, adding tools and enhancing data management and curation capabilities.