Archishman Raju

This paper introduces Power-Seek, an algorithm to identify memory genes from single-sample scRNA-seq data by detecting power-law signatures in covariance matrices, validated on melanoma and breast cancer data.

The paper identifies distinct geometrical landscapes for two gene regulatory motifs that exhibit tristability and shows how these landscapes can model cell fate transitions in cancer.

The paper describes Turing pattern dynamics as a potential flow landscape, applies it to three-component systems and SOX9 expression during digit patterning.

The paper proposes a geometrical model of cell fate specification in the mouse blastocyst using a heteroclinic flip bifurcation to explain lineage decisions.