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Rudiyanto Gunawan
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2020 – today
- 2022
- [j20]Theodore Groth
, Alexander D. Diehl
GlycoEnzOnto: a GlycoEnzyme pathway and molecular function ontology. Bioinform. 38(24): 5413-5420 (2022) - [c3]Darshana Govind
Integrating image analysis with single cell RNA-seq data to study podocyte-specific changes in diabetic kidney disease. Digital and Computational Pathology 2022 - 2021
- [j19]Heeju Noh
DeltaNeTS+: elucidating the mechanism of drugs and diseases using gene expression and transcriptional regulatory networks. BMC Bioinform. 22(1): 108 (2021) - [j18]Sudharshan Ravi
ΔFBA - Predicting metabolic flux alterations using genome-scale metabolic models and differential transcriptomic data. PLoS Comput. Biol. 17(11) (2021)
2010 – 2019
- 2018
- [j17]Nan Papili Gao, S. M. Minhaz Ud-Dean, Olivier Gandrillon, Rudiyanto Gunawan
SINCERITIES: inferring gene regulatory networks from time-stamped single cell transcriptional expression profiles. Bioinform. 34(2): 258-266 (2018) - 2016
- [j16]S. M. Minhaz Ud-Dean, Rudiyanto Gunawan
Optimal design of gene knockout experiments for gene regulatory network inference. Bioinform. 32(6): 875-883 (2016) - [j15]Heeju Noh
Inferring gene targets of drugs and chemical compounds from gene expression profiles. Bioinform. 32(14): 2120-2127 (2016) - [j14]S. M. Minhaz Ud-Dean, Sandra Heise, Steffen Klamt
TRaCE+: Ensemble inference of gene regulatory networks from transcriptional expression profiles of gene knock-out experiments. BMC Bioinform. 17: 252 (2016) - 2015
- [j13]Yang Liu, Erica Manesso, Rudiyanto Gunawan:
REDEMPTION: reduced dimension ensemble modeling and parameter estimation. Bioinform. 31(20): 3387-3389 (2015) - [j12]Zhi Yang Tam, Jan Gruber, Barry Halliwell
Context-Dependent Role of Mitochondrial Fusion-Fission in Clonal Expansion of mtDNA Mutations. PLoS Comput. Biol. 11(5) (2015) - 2014
- [j11]Yang Liu, Rudiyanto Gunawan
Parameter estimation of dynamic biological network models using integrated fluxes. BMC Syst. Biol. 8: 127 (2014) - 2013
- [j10]Thanneer Malai Perumal
Reduction of kinetic models using dynamic sensitivities. Comput. Chem. Eng. 56: 37-45 (2013) - 2012
- [j9]Gengjie Jia
Incremental parameter estimation of kinetic metabolic network models. BMC Syst. Biol. 6: 142 (2012) - 2011
- [j8]Gengjie Jia
Parameter estimation of kinetic models from metabolic profiles: two-phase dynamic decoupling method. Bioinform. 27(14): 1964-1970 (2011) - [j7]Thanneer M. Perumal
Understanding dynamics using sensitivity analysis: caveat and solution. BMC Syst. Biol. 5: 41 (2011) - 2010
- [j6]Suresh Kumar Poovathingal
Global parameter estimation methods for stochastic biochemical systems. BMC Bioinform. 11: 414 (2010)
2000 – 2009
- 2009
- [j5]Suresh Kumar Poovathingal
Stochastic Drift in Mitochondrial DNA Point Mutations: A Novel Perspective Ex Silico. PLoS Comput. Biol. 5(11) (2009) - [p1]Henry Mirsky, Jörg Stelling, Rudiyanto Gunawan
Automatic Control in Systems Biology. Handbook of Automation 2009: 1335-1360 - 2008
- [j4]Stephanie R. Taylor, Rudiyanto Gunawan
Sensitivity Measures for Oscillating Systems: Application to Mammalian Circadian Gene Network. IEEE Trans. Autom. Control. 53: 177-188 (2008) - 2006
- [j3]Richard D. Braatz, Richard C. Alkire, Edmund G. Seebauer, Timothy O. Drews, Effendi Rusli, Mohan Karulkar, Feng Xue, Yan Qin, Michael Y. L. Jung, Rudiyanto Gunawan
A multiscale systems approach to microelectronic processes. Comput. Chem. Eng. 30(10-12): 1643-1656 (2006) - [j2]Francis J. Doyle III, Rudiyanto Gunawan
Circadian rhythm: A natural, robust, multi-scale control system. Comput. Chem. Eng. 30(10-12): 1700-1711 (2006) - 2005
- [j1]Kapil G. Gadkar, Rudiyanto Gunawan, Francis J. Doyle III:
Iterative approach to model identification of biological networks. BMC Bioinform. 6: 155 (2005) - [c2]Rudiyanto Gunawan, Francis J. Doyle III:
Phase Sensitivity Analysis of a Circadian Rhythm Gene Network. CDC/ECC 2005: 3687-3692 - 2001
- [c1]Rudiyanto Gunawan, E. L. Russell, Richard D. Braatz:
Robustness analysis of multivariable systems with time delays. ECC 2001: 1882-1887
Coauthor Index
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