186 related articles for article (PubMed ID: 31996136)
1. TopoFilter: a MATLAB package for mechanistic model identification in systems biology.
Rybiński M; Möller S; Sunnåker M; Lormeau C; Stelling J
BMC Bioinformatics; 2020 Jan; 21(1):34. PubMed ID: 31996136
[TBL] [Abstract][Full Text] [Related]
2. CRA toolbox: software package for conditional robustness analysis of cancer systems biology models in MATLAB.
Bianconi F; Antonini C; Tomassoni L; Valigi P
BMC Bioinformatics; 2019 Jul; 20(1):385. PubMed ID: 31288758
[TBL] [Abstract][Full Text] [Related]
3. BioBayes: a software package for Bayesian inference in systems biology.
Vyshemirsky V; Girolami M
Bioinformatics; 2008 Sep; 24(17):1933-4. PubMed ID: 18632751
[TBL] [Abstract][Full Text] [Related]
4. Recipes for Analysis of Molecular Networks Using the Data2Dynamics Modeling Environment.
Steiert B; Kreutz C; Raue A; Timmer J
Methods Mol Biol; 2019; 1945():341-362. PubMed ID: 30945255
[TBL] [Abstract][Full Text] [Related]
5. Data2Dynamics: a modeling environment tailored to parameter estimation in dynamical systems.
Raue A; Steiert B; Schelker M; Kreutz C; Maiwald T; Hass H; Vanlier J; Tönsing C; Adlung L; Engesser R; Mader W; Heinemann T; Hasenauer J; Schilling M; Höfer T; Klipp E; Theis F; Klingmüller U; Schöberl B; Timmer J
Bioinformatics; 2015 Nov; 31(21):3558-60. PubMed ID: 26142188
[TBL] [Abstract][Full Text] [Related]
6. Proper lumping in systems biology models.
Dokoumetzidis A; Aarons L
IET Syst Biol; 2009 Jan; 3(1):40-51. PubMed ID: 19154083
[TBL] [Abstract][Full Text] [Related]
7. RKappa: Software for Analyzing Rule-Based Models.
Sorokin A; Sorokina O; Douglas Armstrong J
Methods Mol Biol; 2019; 1945():363-390. PubMed ID: 30945256
[TBL] [Abstract][Full Text] [Related]
8. MEIGO: an open-source software suite based on metaheuristics for global optimization in systems biology and bioinformatics.
Egea JA; Henriques D; Cokelaer T; Villaverde AF; MacNamara A; Danciu DP; Banga JR; Saez-Rodriguez J
BMC Bioinformatics; 2014 May; 15():136. PubMed ID: 24885957
[TBL] [Abstract][Full Text] [Related]
9. ABC-SysBio--approximate Bayesian computation in Python with GPU support.
Liepe J; Barnes C; Cule E; Erguler K; Kirk P; Toni T; Stumpf MP
Bioinformatics; 2010 Jul; 26(14):1797-9. PubMed ID: 20591907
[TBL] [Abstract][Full Text] [Related]
10. Topological augmentation to infer hidden processes in biological systems.
Sunnåker M; Zamora-Sillero E; López García de Lomana A; Rudroff F; Sauer U; Stelling J; Wagner A
Bioinformatics; 2014 Jan; 30(2):221-7. PubMed ID: 24297519
[TBL] [Abstract][Full Text] [Related]
11. An integrated strategy for prediction uncertainty analysis.
Vanlier J; Tiemann CA; Hilbers PA; van Riel NA
Bioinformatics; 2012 Apr; 28(8):1130-5. PubMed ID: 22355081
[TBL] [Abstract][Full Text] [Related]
12. GNU MCSim: Bayesian statistical inference for SBML-coded systems biology models.
Bois FY
Bioinformatics; 2009 Jun; 25(11):1453-4. PubMed ID: 19304877
[TBL] [Abstract][Full Text] [Related]
13. PeTTSy: a computational tool for perturbation analysis of complex systems biology models.
Domijan M; Brown PE; Shulgin BV; Rand DA
BMC Bioinformatics; 2016 Mar; 17():124. PubMed ID: 26964749
[TBL] [Abstract][Full Text] [Related]
14. BioPreDyn-bench: a suite of benchmark problems for dynamic modelling in systems biology.
Villaverde AF; Henriques D; Smallbone K; Bongard S; Schmid J; Cicin-Sain D; Crombach A; Saez-Rodriguez J; Mauch K; Balsa-Canto E; Mendes P; Jaeger J; Banga JR
BMC Syst Biol; 2015 Feb; 9():8. PubMed ID: 25880925
[TBL] [Abstract][Full Text] [Related]
15. Parallel Tempering with Lasso for model reduction in systems biology.
Gupta S; Lee REC; Faeder JR
PLoS Comput Biol; 2020 Mar; 16(3):e1007669. PubMed ID: 32150537
[TBL] [Abstract][Full Text] [Related]
16. Likelihood-free nested sampling for parameter inference of biochemical reaction networks.
Mikelson J; Khammash M
PLoS Comput Biol; 2020 Oct; 16(10):e1008264. PubMed ID: 33035218
[TBL] [Abstract][Full Text] [Related]
17. Dizzy-Beats: a Bayesian evidence analysis tool for systems biology.
Aitken S; Kilpatrick AM; Akman OE
Bioinformatics; 2015 Jun; 31(11):1863-5. PubMed ID: 25637558
[TBL] [Abstract][Full Text] [Related]
18. Parameter inference and model selection in signaling pathway models.
Toni T; Stumpf MP
Methods Mol Biol; 2010; 673():283-95. PubMed ID: 20835806
[TBL] [Abstract][Full Text] [Related]
19. A framework for parameter estimation and model selection from experimental data in systems biology using approximate Bayesian computation.
Liepe J; Kirk P; Filippi S; Toni T; Barnes CP; Stumpf MP
Nat Protoc; 2014 Feb; 9(2):439-56. PubMed ID: 24457334
[TBL] [Abstract][Full Text] [Related]
20. Near-optimal experimental design for model selection in systems biology.
Busetto AG; Hauser A; Krummenacher G; Sunnåker M; Dimopoulos S; Ong CS; Stelling J; Buhmann JM
Bioinformatics; 2013 Oct; 29(20):2625-32. PubMed ID: 23900189
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]