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2020 – today
- 2024
[j21]César Nieto
, Cesar Augusto Vargas Garcia, Abhyudai Singh:
A Moments-Based Analytical Approach for Cell Size Homeostasis. IEEE Control. Syst. Lett. 8: 2205-2210 (2024)- [c90]Zahra Vahdat, Oliver Gambrell, Abhyudai Singh:
Negative Feedback Regulation via an Autapse Enhances Neuronal Firing Precision. ACC 2024: 3941-3946 - 2023
- [j20]Pavol Bokes, Anna Hlubinová, Abhyudai Singh:
Reversible Transitions in a Fluctuation Assay Modify the Tail of Luria-Delbrück Distribution. Axioms 12(3): 249 (2023) - [j19]Candan Çelik, Pavol Bokes, Abhyudai Singh:
Translation regulation by RNA stem-loops can reduce gene expression noise. BMC Bioinform. 24-S(1): 493 (2023) - [c89]Iryna Zabaikina, Zhanhao Zhang, César Nieto, Pavol Bokes, Abhyudai Singh:
Amplification of noisy gene expression by protein burden: An analytical approach. ACC 2023: 2861-2866 - [c88]Sayeh Rezaee, César Nieto, Zahra Vahdat, Abhyudai Singh:
Stochastic dynamics of the logistic growth model subjected to environmental perturbations. CCTA 2023: 174-179 - [c87]Zhanhao Zhang, César Nieto, Abhyudai Singh:
Comparing Negative Feedback Mechanisms in Gene Expression: From Single Cells to Cell Populations. CDC 2023: 3744-3749 - [c86]Iryna Zabaikina, Pavol Bokes, Abhyudai Singh:
Joint Distribution of Protein Concentration and Cell Volume Coupled by Feedback in Dilution. CMSB 2023: 253-268 - [c85]Sayeh Rezaee, César Nieto, Abhyudai Singh:
Optimizing Precision in Cellular Clocks Through Self-Regulated Accumulation Of Molecules. ICSTCC 2023: 505-510 - 2022
- [j18]Chen Jia, Abhyudai Singh, Ramon Grima:
Characterizing non-exponential growth and bimodal cell size distributions in fission yeast: An analytical approach. PLoS Comput. Biol. 18(1) (2022) - [j17]Chen Jia, Abhyudai Singh, Ramon Grima:
Concentration fluctuations in growing and dividing cells: Insights into the emergence of concentration homeostasis. PLoS Comput. Biol. 18(10): 1010574 (2022) - [c84]César Nieto, Khem Raj Ghusinga, Cesar Vargas-García, Abhyudai Singh:
Threshold-crossing time statistics for size-dependent gene expression in growing cells. ACC 2022: 1341-1346 - [c83]Tarun Mahajan, Abhyudai Singh, Roy D. Dar:
Kinetic Constraints on Noise Reduction in Feedback Gene Regulatory Networks. ACC 2022: 1386-1391 - [c82]Zahra Vahdat, Abhyudai Singh:
Time triggered stochastic hybrid systems with nonlinear continuous dynamics. ACC 2022: 4888-4893 - [c81]Mohammad Soltani, Abhyudai Singh:
Using fluctuation statistics to infer random forces impinging on a nanosensor. CCTA 2022: 1300-1305 - [c80]Zahra Vahdat, Abhyudai Singh:
Frequency-dependent modulation of stochasticity in postsynaptic neuron firing times. CDC 2022: 635-640 - [c79]Supravat Dey, Cesar Augusto Vargas Garcia, Abhyudai Singh:
Sequestration-based feedback control of blood platelet levels. CDC 2022: 1930-1935 - [c78]César Nieto, César Vargas-García, Juan Manuel Pedraza, Abhyudai Singh:
Cell size control shapes fluctuations in colony population. CDC 2022: 3219-3224 - [c77]Michael M. Saint-Antoine, Ramon Grima, Abhyudai Singh:
Fluctuation-based approaches to infer kinetics of cell-state switching. CDC 2022: 3878-3883 - [c76]Tarun Mahajan, Michael M. Saint-Antoine, Roy D. Dar, Abhyudai Singh:
Limits on inferring gene regulatory networks from single-cell measurements of unstable mRNA levels. CDC 2022: 3884-3889 - [c75]Sayeh Rezaee, César Nieto, Abhyudai Singh:
Optimal network transmission to minimize state-estimation error and channel usage. ICSTCC 2022: 337-342 - [c74]César Nieto, Khem Raj Ghusinga, Abhyudai Singh:
Feedback strategies for threshold crossing of protein levels at a prescribed time. MED 2022: 170-175 - 2021
- [j16]Niccoló Totis, César Nieto, Armin Küper, Cesar Augusto Vargas Garcia, Abhyudai Singh, Steffen Waldherr:
A Population-Based Approach to Study the Effects of Growth and Division Rates on the Dynamics of Cell Size Statistics. IEEE Control. Syst. Lett. 5(2): 725-730 (2021) - [j15]Pavol Bokes, Abhyudai Singh:
A modified fluctuation test for elucidating drug resistance in microbial and cancer cells. Eur. J. Control 62: 130-135 (2021) - [j14]Saurabh Modi, Supravat Dey, Abhyudai Singh:
Noise suppression in stochastic genetic circuits using PID controllers. PLoS Comput. Biol. 17(7) (2021) - [j13]Pavol Bokes, Michal Hojcka, Abhyudai Singh:
MicroRNA Based Feedforward Control of Intrinsic Gene Expression Noise. IEEE ACM Trans. Comput. Biol. Bioinform. 18(1): 272-282 (2021) - [c73]Supravat Dey, Lee Tracey, Abhyudai Singh:
Role of intercellular coupling and delay on the synchronization of genetic oscillators. ACC 2021: 1917-1922 - [c72]Madeline Smith, Mohammad Soltani, Rahul V. Kulkarni, Abhyudai Singh:
Modulation of stochastic gene expression by nuclear export processes. CDC 2021: 655-660 - [c71]Candan Çelik, Pavol Bokes, Abhyudai Singh:
Protein Noise and Distribution in a Two-Stage Gene-Expression Model Extended by an mRNA Inactivation Loop. CMSB 2021: 215-229 - [c70]Zhanhao Zhang, Supravat Dey, Abhyudai Singh:
Role of periodic forcing on the stochastic dynamics of a biomolecular clock. ECC 2021: 824-829 - [c69]Supravat Dey, Sherin Kannoly, Pavol Bokes, John J. Dennehy, Abhyudai Singh:
Feedforward genetic circuits regulate the precision of event timing. ECC 2021: 2127-2132 - [c68]Zahra Vahdat, Khem Raj Ghusinga, Abhyudai Singh:
Comparing feedback strategies for minimizing noise in gene expression event timing. MED 2021: 450-455 - 2020
- [j12]Khem Raj Ghusinga, Andrew G. Lamperski, Abhyudai Singh:
Moment analysis of stochastic hybrid systems using semidefinite programming. Autom. 112 (2020) - [j11]Alessandro Borri, Pasquale Palumbo, Abhyudai Singh:
Time Delays in a Genetic Positive-Feedback Circuit. IEEE Control. Syst. Lett. 4(1): 163-168 (2020) - [c67]Zikai Xu, Khem Raj Ghusinga, Abhyudai Singh:
Noise analysis in biochemical complex formation from stochastically produced components. ACC 2020: 3737-3742 - [c66]Madeline Smith, Abhyudai Singh:
Noise suppression by stochastic delays in negatively autoregulated gene expression. ACC 2020: 4270-4275 - [c65]Supravat Dey, Abhyudai Singh:
Genomic decoy sites enhance the oscillatory regime of a biomolecular clock. ACC 2020: 5002-5007 - [c64]Alessandro Borri, Pasquale Palumbo, Abhyudai Singh:
Noise propagation in metabolic pathways: the role of growth-mediated feedback. CDC 2020: 4610-4615 - [c63]Abhyudai Singh, Brooks Emerick:
Hybrid systems framework for modeling host-parasitoid population dynamics. CDC 2020: 4628-4633 - [c62]Khem Raj Ghusinga, Abhyudai Singh:
Controlling event timing precision for gene expression with external disturbances. CDC 2020: 5867-5872 - [c61]Supravat Dey, Abhyudai Singh:
Propagation of stochastic gene expression in the presence of decoys. CDC 2020: 5873-5878 - [c60]Candan Çelik, Pavol Bokes, Abhyudai Singh:
Stationary Distributions and Metastable Behaviour for Self-regulating Proteins with General Lifetime Distributions. CMSB 2020: 27-43 - [c59]Zahra Vahdat, Karol Nienaltowski, Zia Farooq, Michal Komorowski, Abhyudai Singh:
Information processing in unregulated and autoregulated gene expression. ECC 2020: 258-263 - [c58]Iryna Zabaikina, Pavol Bokes, Abhyudai Singh:
Optimal bang-bang feedback for bursty gene expression. ECC 2020: 277-282 - [c57]James MacLaurin, Abhyudai Singh:
The Effect of Stochastic Bursting on Biological Clock Precision. ECC 2020: 1135-1140 - [c56]Yao Li, Cesar Augusto Vargas Garcia, Abhyudai Singh:
Stochastic stability of a cell cycle model with "silence period". ECC 2020: 1820-1825
2010 – 2019
- 2019
- [j10]Cesar Augusto Nieto-Acuna, Cesar Augusto Vargas Garcia, Abhyudai Singh, Juan Manuel Pedraza:
Efficient computation of stochastic cell-size transient dynamics. BMC Bioinform. 20-S(23): 647 (2019) - [j9]Mohammad Soltani, Abhyudai Singh:
Moment Analysis of Linear Time-Varying Dynamical Systems with Renewal Transitions. SIAM J. Control. Optim. 57(4): 2660-2685 (2019) - [j8]Andrew G. Lamperski, Khem Raj Ghusinga, Abhyudai Singh:
Analysis and Control of Stochastic Systems Using Semidefinite Programming Over Moments. IEEE Trans. Autom. Control. 64(4): 1726-1731 (2019) - [c55]Madeline Smith, Khem Raj Ghusinga, Abhyudai Singh:
Comparison of feedback strategies for noise suppression in protein level. ACC 2019: 1513-1518 - [c54]Supravat Dey, Abhyudai Singh:
Stochastic analysis of feedback control by molecular sequestration. ACC 2019: 4466-4471 - [c53]Saurabh Modi, Supravat Dey, Abhyudai Singh:
Proportional and derivative controllers for buffering noisy gene expression. CDC 2019: 2832-2837 - [c52]Zahra Vahdat, Zikai Xu, Abhyudai Singh:
Modeling and characterization of neuronal synapses using stochastic hybrid systems. CDC 2019: 4729-4734 - [c51]Michael M. Saint-Antoine, Abhyudai Singh:
Evaluating Pruning Methods in Gene Network Inference. CIBCB 2019: 1-7 - [c50]Pavol Bokes, Abhyudai Singh:
Cell Volume Distributions in Exponentially Growing Populations. CMSB 2019: 140-154 - [c49]Giulia Giordano, Abhyudai Singh, Franco Blanchini:
Analysis of coupled genetic oscillators with delayed positive feedback interconnections. ECC 2019: 674-679 - [c48]Pavol Bokes, Abhyudai Singh:
Noise induced bimodality in genetic circuits with monostable positive feedback. ECC 2019: 698-703 - [c47]Khem Raj Ghusinga, Vaibhav Srivastava, Abhyudai Singh:
Driving an Ornstein-Uhlenbeck Process to Desired First-Passage Time Statistics. ECC 2019: 869-874 - [c46]Pavol Bokes, Abhyudai Singh:
Controlling Noisy Expression Through Auto Regulation of Burst Frequency and Protein Stability. HSB 2019: 80-97 - 2018
- [j7]Atul Kakrana, Andrian Yang, Deepti Anand, Djordje Djordjevic, S. Deepthi Ramachandruni, Abhyudai Singh, Hongzhan Huang, Joshua Wing Kei Ho, Salil A. Lachke:
iSyTE 2.0: a database for expression-based gene discovery in the eye. Nucleic Acids Res. 46(Database-Issue): D875-D885 (2018) - [c45]Cenk Demir, Mohammad Soltani, Abhyudai Singh:
Prediction of Projectile Impact Point using Approximate Statistical Moments. ACC 2018: 1467-1472 - [c44]Saurabh Modi, Mohammad Soltani, Abhyudai Singh:
Linear Noise Approximation for a Class of Piecewise Deterministic Markov Processes. ACC 2018: 1993-1998 - [c43]Alessandro Borri, Pasquale Palumbo, Abhyudai Singh:
Noise propagation in feedback coupling between cell growth and metabolic activity. CDC 2018: 2679-2684 - [c42]Saurabh Modi, Abhyudai Singh:
Controlling organism size by regulating constituent cell numbers. CDC 2018: 2685-2690 - [c41]Zikai Xu, Mohammad Soltani, Abhyudai Singh:
Exact statistical moments of multi-mode stochastic hybrid systems with renewal transitions. CDC 2018: 3510-3515 - [c40]Alberto Carignano, Sumit Mukherjee, Abhyudai Singh, Georg Seelig:
Extrinsic Noise Suppression in Micro RNA Mediated Incoherent Feedforward Loops. CDC 2018: 4353-4359 - [c39]Cesar Augusto Vargas Garcia, Abhyudai Singh:
Elucidating Cell Size Control Mechanisms with Stochastic Hybrid Systems. CDC 2018: 4366-4371 - [c38]Mohammad Soltani, Abhyudai Singh:
Control Design and Analysis of a Stochastic Event-Driven System. CDC 2018: 5789-5794 - [c37]Pavol Bokes, Michal Hojcka, Abhyudai Singh:
Buffering Gene Expression Noise by MicroRNA Based Feedforward Regulation. CMSB 2018: 129-145 - [c36]Mohammad Soltani, Abhyudai Singh:
Linear piecewise-deterministic Markov processes with families of random discrete events. ECC 2018: 447-452 - [c35]Khem Raj Ghusinga, Andrew G. Lamperski, Abhyudai Singh:
Estimating stationary characteristic functions of stochastic systems via semidefinite programming. ECC 2018: 2720-2725 - [i4]Mohammad Soltani, Abhyudai Singh:
Moment analysis of linear time-varying dynamical systems with renewal transitions. CoRR abs/1804.10187 (2018) - 2017
- [j6]Mohammad Soltani, Abhyudai Singh:
Moment-based analysis of stochastic hybrid systems with renewal transitions. Autom. 84: 62-69 (2017) - [c34]Mohammad Soltani, Abhyudai Singh:
Stochastic analysis of linear time-invariant systems with renewal transitions. ACC 2017: 1734-1739 - [c33]Khem Raj Ghusinga, Abhyudai Singh:
Effect of gene-expression bursts on stochastic timing of cellular events. ACC 2017: 2118-2123 - [c32]Cesar Augusto Vargas Garcia, Carl Agbemabiese, Abhyudai Singh:
Optimal adsorption rate: Implications of the shielding effect. ACC 2017: 2140-2145 - [c31]Alessandro Borri, Pasquale Palumbo, Abhyudai Singh:
Noise propagation in a class of metabolic networks. CDC 2017: 447-452 - [c30]Joshua A. Blotnick, Cesar Augusto Vargas Garcia, John J. Dennehy, Ryan Zurakowski, Abhyudai Singh:
The effect of multiplicity of infection on the temperateness of a bacteriophage: Implications for viral fitness. CDC 2017: 1641-1645 - [c29]Khem Raj Ghusinga, Mohammad Soltani, Andrew G. Lamperski, Sairaj V. Dhople, Abhyudai Singh:
Approximate moment dynamics for polynomial and trigonometric stochastic systems. CDC 2017: 1864-1869 - [c28]Ximing Chen, Masaki Ogura, Khem Raj Ghusinga, Abhyudai Singh, Victor M. Preciado:
Semidefinite bounds for moment dynamics: Application to epidemics on networks. CDC 2017: 2448-2454 - [c27]Abhyudai Singh:
Noise mechanisms in synaptic transmission and their impact on spike-timing precision. CDC 2017: 5925-5930 - [i3]Mohammad Soltani, Abhyudai Singh:
Control design and analysis of a stochastic network control system. CoRR abs/1704.00236 (2017) - [i2]Cenk Demir, Abhyudai Singh:
Prediction and Control of Projectile Impact Point using Approximate Statistical Moments. CoRR abs/1710.00289 (2017) - [i1]Mohammad Soltani, Abhyudai Singh:
Linear piecewise-deterministic Markov processes with families of random discrete events. CoRR abs/1711.04884 (2017) - 2016
- [j5]Mohammad Soltani, Cesar Augusto Vargas Garcia, Duarte Antunes, Abhyudai Singh:
Intercellular Variability in Protein Levels from Stochastic Expression and Noisy Cell Cycle Processes. PLoS Comput. Biol. 12(8) (2016) - [c26]Mohammad Soltani, Thierry Platini, Abhyudai Singh:
Stochastic analysis of an incoherent feedforward genetic motif. ACC 2016: 406-411 - [c25]Khem Raj Ghusinga, Abhyudai Singh:
Optimal regulation of protein degradation to schedule cellular events with precision. ACC 2016: 424-429 - [c24]Andrew G. Lamperski, Khem Raj Ghusinga, Abhyudai Singh:
Stochastic optimal control using semidefinite programming for moment dynamics. CDC 2016: 1990-1995 - [c23]Mohammad Soltani, Abhyudai Singh:
Moment dynamics for linear time-triggered stochastic hybrid systems. CDC 2016: 3702-3707 - [c22]Alessandro Borri, Pasquale Palumbo, Abhyudai Singh:
Noise reduction for enzymatic reactions: A case study for stochastic product clearance. CDC 2016: 5851-5856 - [c21]Cesar Augusto Vargas Garcia, Mohammad Soltani, Abhyudai Singh:
Stochastic hybrid systems approach to modeling dynamics of cell size. CDC 2016: 5863-5868 - [c20]Jessica M. Conway, John J. Dennehy, Abhyudai Singh:
Optimizing phage λ survival in a changing environment: Stochastic model predictions. CDC 2016: 5881-5887 - 2015
- [j4]Bernie J. Daigle Jr., Mohammad Soltani, Linda R. Petzold, Abhyudai Singh:
Inferring single-cell gene expression mechanisms using stochastic simulation. Bioinform. 31(9): 1428-1435 (2015) - [j3]Niraj Kumar, Abhyudai Singh, Rahul V. Kulkarni:
Transcriptional Bursting in Gene Expression: Analytical Results for General Stochastic Models. PLoS Comput. Biol. 11(10) (2015) - [j2]Mohammad Soltani, Cesar Augusto Vargas Garcia, Abhyudai Singh:
Conditional Moment Closure Schemes for Studying Stochastic Dynamics of Genetic Circuits. IEEE Trans. Biomed. Circuits Syst. 9(4): 518-526 (2015) - [c19]Khem Raj Ghusinga, Pak-Wing Fok, Abhyudai Singh:
Optimal auto-regulation to minimize first-passage time variability in protein level. ACC 2015: 4411-4416 - [c18]Mohammad Soltani, Cesar Augusto Vargas Garcia, Niraj Kumar, Rahul V. Kulkarni, Abhyudai Singh:
Approximate statistical dynamics of a genetic feedback circuit. ACC 2015: 4424-4429 - [c17]Alessandro Borri, Pasquale Palumbo, Abhyudai Singh:
Metabolic noise reduction for enzymatic reactions: The role of a negative feedback. CDC 2015: 2537-2542 - [c16]Khem Raj Ghusinga, Abhyudai Singh:
Theoretical predictions on the first-passage time for a gene expression model. CDC 2015: 3864-3869 - 2014
- [c15]Khem Raj Ghusinga, Abhyudai Singh:
First-passage time calculations for a gene expression model. CDC 2014: 3047-3052 - 2013
- [c14]Abhyudai Singh, Cesar Augusto Vargas Garcia, Rajesh Karmakar:
Stochastic analysis and inference of a two-state genetic promoter model. ACC 2013: 4563-4568 - [c13]Cesar Augusto Vargas Garcia, Ryan Zurakowski, Abhyudai Singh:
Conditions for invasion of synapse-forming HIV variants. CDC 2013: 7193-7198 - [c12]Duarte Antunes, Abhyudai Singh:
Computing mRNA and protein statistical moments for a renewal model of stochastic gene-expression. CDC 2013: 7199-7204 - [c11]Abhyudai Singh, Cesar Augusto Vargas Garcia, Rajesh Karmakar:
Stochastic analysis of genetic promoter architectures with memory. CDC 2013: 7217-7222 - 2012
- [c10]Abhyudai Singh:
Stochastic analysis of genetic feedback circuit controlling HIV cell-fate decision. CDC 2012: 4918-4923 - [c9]Abhyudai Singh:
Quantifying stochasticity in gene-expression with extrinsic parameter fluctuations. CDC 2012: 5342-5347 - 2011
- [j1]Abhyudai Singh, João Pedro Hespanha:
Approximate Moment Dynamics for Chemically Reacting Systems. IEEE Trans. Autom. Control. 56(2): 414-418 (2011) - [c8]Abhyudai Singh:
Genetic negative feedback circuits for filtering stochasticity in gene expression. CDC/ECC 2011: 4366-4370
2000 – 2009
- 2009
- [c7]Abhyudai Singh, João Pedro Hespanha:
Reducing noise through translational control in an auto-regulatory gene network. ACC 2009: 1712-1717 - 2008
- [c6]Abhyudai Singh, João Pedro Hespanha:
Scaling of stochasticity in gene cascades. ACC 2008: 2780-2785 - [c5]Abhyudai Singh, João Pedro Hespanha:
Noise suppression in auto-regulatory gene networks. CDC 2008: 787-792 - 2006
- [c4]Abhyudai Singh, João Pedro Hespanha:
Moment closure techniques for stochastic models in population biology. ACC 2006: 1-6 - [c3]Abhyudai Singh, João Pedro Hespanha:
Lognormal Moment Closures for Biochemical Reactions. CDC 2006: 2063-2068 - 2005
- [c2]Abhyudai Singh, João Pedro Hespanha:
Models for Multi-Specie Chemical Reactions Using Polynomial Stochastic Hybrid Systems. CDC/ECC 2005: 2969-2974 - 2004
- [c1]Abhyudai Singh, Hassan K. Khalil:
State feedback regulation of nonlinear systems using conditional integrators. CDC 2004: 4560-4564
Coauthor Index
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