Analysis and Neuronal Modeling of the Nonlinear Characteristics of a Local Cardiac Reflex in the Rat. - Rajanikanth Vadigepalli; Francis J. Doyle III; James S. Schwaber (Neural Comput., 2001)

A distributed state estimation and control algorithm for plantwide processes. - Rajanikanth Vadigepalli; Francis J. Doyle III (IEEE Trans. Control. Syst. Technol., 2003)

Unconventional systems analysis problems in molecular biology: a case study in gene regulatory network modeling. - Daniel E. Zak; Rajanikanth Vadigepalli; Gregory E. Gonye; Francis J. Doyle III; James S. Schwaber; Babatunde A. Ogunnaike (Comput. Chem. Eng., 2005)

Structural Properties of Gene Regulatory Networks: Definitions and Connections. - Sridharakumar Narasimhan; Raghunathan Rengaswamy; Rajanikanth Vadigepalli (IEEE ACM Trans. Comput. Biol. Bioinform., 2009)

Ethanol Effects on Transcription Factor Network Regulating Stem Cell Differentiation. - Rajanikanth Vadigepalli; Joshua Ogony; Helen Anni (BIBE, 2010)

Robust dynamic balance of AP-1 transcription factors in a neuronal gene regulatory network. - Gregory M. Miller; Babatunde A. Ogunnaike; James S. Schwaber; Rajanikanth Vadigepalli (BMC Syst. Biol., 2010)

Systems analysis of non-parenchymal cell modulation of liver repair across multiple regeneration modes. - Daniel Cook; Babatunde A. Ogunnaike; Rajanikanth Vadigepalli (BMC Syst. Biol., 2015)

Intracellular Information Processing through Encoding and Decoding of Dynamic Signaling Features. - Hirenkumar K. Makadia; James S. Schwaber; Rajanikanth Vadigepalli (PLoS Comput. Biol., 2015)

Molecular variability elicits a tunable switch with discrete neuromodulatory response phenotypes. - Warren D. Anderson; Hirenkumar K. Makadia; Rajanikanth Vadigepalli (J. Comput. Neurosci., 2016)

Erratum to: Molecular variability elicits a tunable switch with discrete neuromodulatory response phenotypes. - Warren D. Anderson; Hirenkumar K. Makadia; Rajanikanth Vadigepalli (J. Comput. Neurosci., 2016)

Computational Modeling of Spatiotemporal Ca2+ Signal Propagation Along Hepatocyte Cords. - Aalap Verma; Hirenkumar K. Makadia; Jan B. Hoek; Babatunde A. Ogunnaike; Rajanikanth Vadigepalli (IEEE Trans. Biomed. Eng., 2016)

A data-driven modeling approach to identify disease-specific multi-organ networks driving physiological dysregulation. - Warren D. Anderson; Danielle DeCicco; James S. Schwaber; Rajanikanth Vadigepalli (PLoS Comput. Biol., 2017)

SPSNet: subpopulation-sensitive network-based analysis of heterogeneous gene expression data. - Abha Belorkar; Rajanikanth Vadigepalli; Limsoon Wong (BMC Syst. Biol., 2018)

Cellular network modeling and single cell gene expression analysis reveals novel hepatic stellate cell phenotypes controlling liver regeneration dynamics. - Daniel Cook; Sirisha Achanta; Jan B. Hoek; Babatunde A. Ogunnaike; Rajanikanth Vadigepalli (BMC Syst. Biol., 2018)

Credibility, Replicability, and Reproducibility in Simulation for Biomedicine and Clinical Applications in Neuroscience. - Lealem Mulugeta; Andrew Drach; Ahmet Erdemir; C. Anthony Hunt; Marc Horner; Joy P. Ku; Jerry G. Myers Jr.; Rajanikanth Vadigepalli; William W. Lytton (Frontiers Neuroinformatics, 2018)

Model-based virtual patient analysis of human liver regeneration predicts critical perioperative factors controlling the dynamic mode of response to resection. - Babita K. Verma; Pushpavanam Subramaniam; Rajanikanth Vadigepalli (BMC Syst. Biol., 2019)