2 papers
quant-ph2026
Quantum Hamiltonian Learning using Time-Resolved Measurement Data and its Application to Gene Regulatory Network Inference
Mohammad Aamir Sohail, Ranga R. Sudharshan, S. Sandeep Pradhan +1
We present a new Hamiltonian-learning framework based on time-resolved measurement data from a fixed local IC-POVM and its application to inferring gene regulatory networks. We int…
stat.AP2025
Efficient inference of dynamic gene regulatory networks using discrete penalty
Visweswaran Ravikumar, Aaresh Bhathena, Wajd N Al-Holou +2
Gene regulatory networks (GRNs) orchestrate cellular decision making and survival strategies. Inferring the structure of these networks from high-dimensional transcriptomics data i…