Qiulin Huang

This paper improves gene-regulatory network inference by using epigenomic priors, showing better accuracy with DNA methylation data compared to chromatin accessibility data.

The paper shows that inhibiting ERK signaling expands epiblast cells capable of becoming naive pluripotent stem cells in humans, while FGF stimulation expands hypoblast markers.

The paper evaluates gene regulatory network prediction methods in early human embryos, finding that MICA, combining mutual information with chromatin accessibility, provides more reproducible and biologically meaningful results.