Year |
Citation |
Score |
2022 |
Braniff N, Pearce T, Lu Z, Astwood M, Forrest WSR, Receno C, Ingalls B. NLoed: A Python Package for Nonlinear Optimal Experimental Design in Systems Biology. Acs Synthetic Biology. PMID 36473701 DOI: 10.1021/acssynbio.2c00131 |
0.384 |
|
2022 |
Yip A, Smith-Roberge J, Khorasani SH, Aucoin MG, Ingalls BP. Calibrating spatiotemporal models of microbial communities to microscopy data: A review. Plos Computational Biology. 18: e1010533. PMID 36227846 DOI: 10.1371/journal.pcbi.1010533 |
0.355 |
|
2020 |
Chavez Rodriguez L, Ingalls B, Schwarz E, Streck T, Uksa M, Pagel H. Gene-Centric Model Approaches for Accurate Prediction of Pesticide Biodegradation in Soils. Environmental Science & Technology. 54: 13638-13650. PMID 33064475 DOI: 10.1021/acs.est.0c03315 |
0.314 |
|
2019 |
Braniff N, Richards A, Ingalls B. Optimal Experimental Design for a Bistable Gene Regulatory Network Ifac-Papersonline. 52: 255-261. DOI: 10.1016/J.Ifacol.2019.12.267 |
0.475 |
|
2019 |
Mori Y, Kuroe Y, Ingalls B. A method for design of expression tracking controllers for gene regulatory networks Ifac-Papersonline. 52: 135-142. DOI: 10.1016/J.Ifacol.2019.12.248 |
0.332 |
|
2018 |
Braniff N, Reed M, Ingalls B. Optimal experimental design for characterizing gene expression: sample scheduling Ifac-Papersonline. 51: 48-51. DOI: 10.1016/J.Ifacol.2018.09.036 |
0.348 |
|
2018 |
Smith-Roberge J, Stietz MS, Dong TG, Ingalls B. ATPase binding and consequent disassembly of the type VI secretion system in Vibrio cholerae: a dynamic model Ifac-Papersonline. 51: 82-83. DOI: 10.1016/J.Ifacol.2018.09.035 |
0.321 |
|
2018 |
Avery L, Ingalls B, Artyukhin A. Numerical Modelling of C. elegans L1 Aggregation Ifac-Papersonline. 51: 12-15. DOI: 10.1016/J.Ifacol.2018.09.012 |
0.418 |
|
2018 |
Braniff N, Ingalls B. New opportunities for optimal design of dynamic experiments in systems and synthetic biology Current Opinion in Systems Biology. 9: 42-48. DOI: 10.1016/J.Coisb.2018.02.005 |
0.488 |
|
2017 |
Morshed M, Ingalls B, Ilie S. Effective implicit finite-difference method for sensitivity analysis of stiff stochastic discrete biochemical systems Iet Systems Biology. 12: 123-130. PMID 33451187 DOI: 10.1049/Iet-Syb.2017.0048 |
0.626 |
|
2017 |
Ingalls B, Mincheva M, Roussel MR. Parametric Sensitivity Analysis of Oscillatory Delay Systems with an Application to Gene Regulation. Bulletin of Mathematical Biology. PMID 28608044 DOI: 10.1007/S11538-017-0298-X |
0.486 |
|
2017 |
Malwade A, Nguyen A, Sadat-Mousavi P, Ingalls BP. Predictive Modeling of a Batch Filter Mating Process. Frontiers in Microbiology. 8: 461. PMID 28377756 DOI: 10.3389/Fmicb.2017.00461 |
0.749 |
|
2017 |
Morshed M, Ingalls B, Ilie S. An efficient finite-difference strategy for sensitivity analysis of stochastic models of biochemical systems. Biosystems. 151: 43-52. PMID 27914944 DOI: 10.1016/J.Biosystems.2016.11.006 |
0.622 |
|
2015 |
Ingalls BP, Bembenek E. Exploiting stoichiometric redundancies for computational efficiency and network reduction. In Silico Biology. 12: 55-67. PMID 25547516 DOI: 10.3233/Isb-140464 |
0.333 |
|
2015 |
Sangrar W, Shi C, Mullins G, LeBrun D, Ingalls B, Greer PA. Amplified Ras-MAPK signal states correlate with accelerated EGFR internalization, cytostasis and delayed HER2 tumor onset in Fer-deficient model systems Oncogene. 34: 4109-4117. DOI: 10.1038/Onc.2014.340 |
0.315 |
|
2014 |
Naderi S, Nikdel A, Meshram M, McConkey B, Ingalls B, Budman H, Scharer J. Modeling of cell culture damage and recovery leads to increased antibody and biomass productivity in CHO cell cultures. Biotechnology Journal. 9: 1152-63. PMID 24852214 DOI: 10.1002/Biot.201300287 |
0.385 |
|
2013 |
Meshram M, Naderi S, McConkey B, Ingalls B, Scharer J, Budman H. Modeling the coupled extracellular and intracellular environments in mammalian cell culture. Metabolic Engineering. 19: 57-68. PMID 23810769 DOI: 10.1016/J.Ymben.2013.06.002 |
0.389 |
|
2013 |
Hamadeh A, Ingalls B, Sontag E. Transient dynamic phenotypes as criteria for model discrimination: fold-change detection in Rhodobacter sphaeroides chemotaxis. Journal of the Royal Society, Interface. 10: 20120935. PMID 23293140 DOI: 10.1098/Rsif.2012.0935 |
0.623 |
|
2012 |
Gidvani RD, Sudmant P, Li G, DaSilva LF, McConkey BJ, Duncker BP, Ingalls BP. A quantitative model of the initiation of DNA replication in Saccharomyces cerevisiae predicts the effects of system perturbations. Bmc Systems Biology. 6: 78. PMID 22738223 DOI: 10.1186/1752-0509-6-78 |
0.437 |
|
2012 |
Meshram M, Naderi S, McConkey B, Budman H, Scharer J, Ingalls B. Population-based modeling of the progression of apoptosis in mammalian cell culture. Biotechnology and Bioengineering. 109: 1193-204. PMID 22125113 DOI: 10.1002/Bit.24392 |
0.347 |
|
2011 |
Naderi S, Meshram M, Wei C, McConkey B, Ingalls B, Budman H, Scharer J. Development of a mathematical model for evaluating the dynamics of normal and apoptotic Chinese hamster ovary cells. Biotechnology Progress. 27: 1197-205. PMID 21618458 DOI: 10.1002/Btpr.647 |
0.521 |
|
2011 |
Ang J, Ingalls B, McMillen D. Probing the input-output behavior of biochemical and genetic systems system identification methods from control theory. Methods in Enzymology. 487: 279-317. PMID 21187229 DOI: 10.1016/B978-0-12-381270-4.00010-X |
0.407 |
|
2011 |
Meshram M, Naderi S, Wei Y, McConkey B, Ingalls B, Budman H, Scharer J. Dynamic Modeling of Apoptosis and its Interaction with Cell Growth in Mammalian Cell Culture Ifac Proceedings Volumes. 44: 9691-9696. DOI: 10.3182/20110828-6-It-1002.02462 |
0.43 |
|
2010 |
Ang J, Bagh S, Ingalls BP, McMillen DR. Considerations for using integral feedback control to construct a perfectly adapting synthetic gene network. Journal of Theoretical Biology. 266: 723-38. PMID 20688080 DOI: 10.1016/J.Jtbi.2010.07.034 |
0.33 |
|
2010 |
Song C, Phenix H, Abedi V, Scott M, Ingalls BP, Kaern M, Perkins TJ. Estimating the stochastic bifurcation structure of cellular networks. Plos Computational Biology. 6: e1000699. PMID 20221261 DOI: 10.1371/Journal.Pcbi.1000699 |
0.484 |
|
2010 |
Meshram M, Wei Y, Naderi S, McConkey B, Ingalls B, Budman H, Scharer J. Modeling the progression of apoptosis in Chinese Hamster Ovary cells Ifac Proceedings Volumes. 43: 467-472. DOI: 10.3182/20100707-3-Be-2012.0026 |
0.42 |
|
2010 |
Naderi S, Meshram M, Wei C, McConkey B, Ingalls B, Budman H, Scharer J. Metabolic flux and nutrient uptake modeling of normal and apoptotic CHO cells Ifac Proceedings Volumes. 43: 395-400. DOI: 10.3182/20100707-3-Be-2012.0005 |
0.368 |
|
2009 |
Oyarzún DA, Ingalls BP, Middleton RH, Kalamatianos D. Sequential activation of metabolic pathways: a dynamic optimization approach. Bulletin of Mathematical Biology. 71: 1851-72. PMID 19412635 DOI: 10.1007/S11538-009-9427-5 |
0.322 |
|
2009 |
Ingalls BP, Sontag ED. Smooth Lyapunov characterization of measurement to error stability Unsolved Problems in Mathematical Systems and Control Theory. 239-243. |
0.401 |
|
2008 |
Ingalls B. Sensitivity analysis: from model parameters to system behaviour. Essays in Biochemistry. 45: 177-194. PMID 18793132 DOI: 10.1042/Bse0450177 |
0.556 |
|
2008 |
Oyarzún DA, Ingalls BP, Middleton R, Kalamatianos D. Optimal metabolic pathway activation Ifac Proceedings Volumes (Ifac-Papersonline). 17. DOI: 10.3182/20080706-5-Kr-1001.02130 |
0.325 |
|
2008 |
Alwan M, Liu X, Ingalls B. Exponential stability of singularly perturbed switched systems with time delay Nonlinear Analysis: Hybrid Systems. 2: 913-921. DOI: 10.1016/J.Nahs.2008.03.003 |
0.329 |
|
2007 |
Scott M, Hwa T, Ingalls B. Deterministic characterization of stochastic genetic circuits. Proceedings of the National Academy of Sciences of the United States of America. 104: 7402-7. PMID 17446275 DOI: 10.1073/Pnas.0610468104 |
0.441 |
|
2007 |
Ingalls BP, Duncker BP, Kim DR, McConkey BJ. Systems level modeling of the cell cycle using budding yeast Cancer Informatics. 3: 367-380. DOI: 10.4137/Cin.S0 |
0.427 |
|
2006 |
Scott M, Ingalls B, Kaern M. Estimations of intrinsic and extrinsic noise in models of nonlinear genetic networks. Chaos (Woodbury, N.Y.). 16: 026107. PMID 16822039 DOI: 10.1063/1.2211787 |
0.423 |
|
2004 |
Ingalls BP. Autonomously oscillating biochemical systems: parametric sensitivity of extrema and period Systems Biology. 1: 62-70. PMID 17052116 DOI: 10.1049/sb:20045005 |
0.352 |
|
2004 |
Ingalls B. Discussion on: “The Non-Uniform in Time Small-Gain Theorem for a Wide Class of Control Systems with Outputs” European Journal of Control. 10: 324-325. DOI: 10.3166/Ejc.10.324-325 |
0.311 |
|
2004 |
Angeli D, Ingalls B, Sontag ED, Wang Y. Separation Principles for Input-Output and Integral-Input-to-State Stability Siam Journal On Control and Optimization. 43: 256-276. DOI: 10.1137/S0363012902419047 |
0.505 |
|
2004 |
Angeli D, Ingalls B, Sontag ED, Wang Y. Uniform Global Asymptotic Stability of Differential Inclusions Journal of Dynamical and Control Systems. 10: 391-412. DOI: 10.1023/B:Jods.0000034437.54937.7F |
0.524 |
|
2004 |
Ingalls BP. A frequency domain approach to sensitivity analysis of biochemical networks Journal of Physical Chemistry B. 108: 1143-1152. DOI: 10.1021/Jp036567U |
0.401 |
|
2003 |
Ingalls BP, Sauro HM. Sensitivity analysis of stoichiometric networks: an extension of metabolic control analysis to non-steady state trajectories. Journal of Theoretical Biology. 222: 23-36. PMID 12699732 DOI: 10.1016/S0022-5193(03)00011-0 |
0.422 |
|
2002 |
Sontag ED, Ingalls B. A small-gain theorem with applications to input/output systems, incremental stability, detectability, and interconnections Journal of the Franklin Institute. 339: 211-229. DOI: 10.1016/S0016-0032(02)00022-4 |
0.542 |
|
2002 |
Ingalls BP, Sontag ED, Wang Y. Measurement to error stability: A notion of partial detectability for nonlinear systems Proceedings of the Ieee Conference On Decision and Control. 4: 3946-3951. |
0.486 |
|
2001 |
Ingalls B, Wang Y. On Input-to-Output Stability for Systems not Uniformly Bounded Ifac Proceedings Volumes. 34: 909-914. DOI: 10.1016/S1474-6670(17)35296-5 |
0.335 |
|
1999 |
Clements JC, Ingalls B. Extended model for pairwise conflict resolution in air traffic management Optimal Control Applications and Methods. 20: 183-197. DOI: 10.1002/(Sici)1099-1514(199907/08)20:4<183::Aid-Oca655>3.0.Co;2-Z |
0.344 |
|
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