Paola Vera‐Licona

The paper shows oscillatory hypoxia induces a unique gene expression signature in breast cancer linked to poor survival.

NETISCE identifies cell fate reprogramming targets in static networks using Signal Flow Analysis and Feedback Vertex Set Control, validated across developmental, stem cell, and cancer biology studies.

OCSANA+ identifies intervention nodes in signaling networks to achieve desired behaviors and estimates perturbation effects using network topology-based algorithms.

The paper compares formalisms for modeling signal transduction in networks and introduces a new approach using topological factories.

This paper benchmarks discretization methods for time-series data by evaluating their impact on reverse-engineering performance and proposes DiscreeTest to select optimal discretization.