Rajanikanth Vadigepalli

According to our database, Rajanikanth Vadigepalli authored at least 16 papers between 2001 and 2019.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2019

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

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

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

SPSNet: subpopulation-sensitive network-based analysis of heterogeneous gene expression data.

Abha Belorkar, Rajanikanth Vadigepalli, Limsoon Wong

BMC Syst. Biol., 2018

2017

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

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

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

Molecular variability elicits a tunable switch with discrete neuromodulatory response phenotypes.

Warren D. Anderson, Hirenkumar K. Makadia, Rajanikanth Vadigepalli

J. Comput. Neurosci., 2016

2015

Intracellular Information Processing through Encoding and Decoding of Dynamic Signaling Features.

Hirenkumar K. Makadia, James S. Schwaber, Rajanikanth Vadigepalli

PLoS Comput. Biol., 2015

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

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

Ethanol Effects on Transcription Factor Network Regulating Stem Cell Differentiation.

Rajanikanth Vadigepalli, Joshua Ogony, Helen Anni

Proceedings of the 10th IEEE International Conference on Bioinformatics and Bioengineering, 2010

2009

Structural Properties of Gene Regulatory Networks: Definitions and Connections.

Sridharakumar Narasimhan, Raghunathan Rengaswamy, Rajanikanth Vadigepalli

IEEE ACM Trans. Comput. Biol. Bioinform., 2009

2005

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

2003

A distributed state estimation and control algorithm for plantwide processes.

Rajanikanth Vadigepalli, Francis J. Doyle III

IEEE Trans. Control. Syst. Technol., 2003

2001

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