Transcriptomics

Make enhancer analyses gene-aware, but not gene-blind

A practical framework for integrating enhancer states, chromatin signal and gene expression without pretending that nearest gene assignment solves everything.

Think in trajectories, not only in contrasts

A reusable strategy for extracting dynamic programs from time-course transcriptomic data with splines, clustering and module-level interpretation.