Cargando…

How informative is your kinetic model?: using resampling methods for model invalidation

BACKGROUND: Kinetic models can present mechanistic descriptions of molecular processes within a cell. They can be used to predict the dynamics of metabolite production, signal transduction or transcription of genes. Although there has been tremendous effort in constructing kinetic models for differe...

Descripción completa

Detalles Bibliográficos
Autores principales:	Hasdemir, Dicle, Hoefsloot, Huub CJ, Westerhuis, Johan A, Smilde, Age K
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2014
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4046068/ https://www.ncbi.nlm.nih.gov/pubmed/24886662 http://dx.doi.org/10.1186/1752-0509-8-61

Ejemplares similares

Validation and selection of ODE based systems biology models: how to arrive at more reliable decisions
por: Hasdemir, Dicle, et al.
Publicado: (2015)

Topology of Transcriptional Regulatory Networks: Testing and Improving
por: Hasdemir, Dicle, et al.
Publicado: (2012)

Centering, scaling, and transformations: improving the biological information content of metabolomics data
por: van den Berg, Robert A, et al.
Publicado: (2006)

Multivariate paired data analysis: multilevel PLSDA versus OPLSDA
por: Westerhuis, Johan A., et al.
Publicado: (2009)

To aggregate or not to aggregate high-dimensional classifiers
por: Xu, Cheng-Jian, et al.
Publicado: (2011)

Dynamic elementary mode modelling of non-steady state flux data
por: Folch-Fortuny, Abel, et al.
Publicado: (2018)

Crossfit analysis: a novel method to characterize the dynamics of induced plant responses
por: Jansen, Jeroen J, et al.
Publicado: (2009)

Modeling adaptive response profiles in a vaccine clinical trial
por: Hasdemir, Dicle, et al.
Publicado: (2020)

Detecting Regulatory Mechanisms in Endocrine Time Series Measurements
por: Vis, Daniel J., et al.
Publicado: (2012)

Double-check: validation of diagnostic statistics for PLS-DA models in metabolomics studies
por: Szymańska, Ewa, et al.
Publicado: (2011)

Inferring protein–protein interaction complexes from immunoprecipitation data
por: Kutzera, Joachim, et al.
Publicado: (2013)

Network Identification of Hormonal Regulation
por: Vis, Daniel J., et al.
Publicado: (2014)

Individual differences in metabolomics: individualised responses and between-metabolite relationships
por: Jansen, Jeroen J., et al.
Publicado: (2012)

Scaling in ANOVA-simultaneous component analysis
por: Timmerman, Marieke E., et al.
Publicado: (2015)

Towards a Hierarchical Strategy to Explore Multi-Scale IP/MS Data for Protein Complexes
por: Kutzera, Joachim, et al.
Publicado: (2015)

Exploring dynamic metabolomics data with multiway data analysis: a simulation study
por: Li, Lu, et al.
Publicado: (2022)

Fingerprint resampling: A generic method for efficient resampling
por: Mestdagh, Merijn, et al.
Publicado: (2015)

Strategies for Individual Phenotyping of Linoleic and Arachidonic Acid Metabolism Using an Oral Glucose Tolerance Test
por: Saccenti, Edoardo, et al.
Publicado: (2015)

Repeated measures ASCA+ for analysis of longitudinal intervention studies with multivariate outcome data
por: Madssen, Torfinn S., et al.
Publicado: (2021)

Use of prior knowledge for the analysis of high-throughput transcriptomics and metabolomics data
por: Reshetova, Polina, et al.
Publicado: (2014)

Simplivariate Models: Ideas and First Examples
por: Hageman, Jos A., et al.
Publicado: (2008)

Between Metabolite Relationships: an essential aspect of metabolic change
por: Jansen, Jeroen J., et al.
Publicado: (2011)

Statistical validation of megavariate effects in ASCA
por: Vis, Daniel J, et al.
Publicado: (2007)

Metabolic network discovery through reverse engineering of metabolome data
por: Çakır, Tunahan, et al.
Publicado: (2009)

Common and distinct variation in data fusion of designed experimental data
por: Alinaghi, Masoumeh, et al.
Publicado: (2019)

Simplivariate Models: Uncovering the Underlying Biology in Functional Genomics Data
por: Saccenti, Edoardo, et al.
Publicado: (2011)

Resampling methods : a practical guide to data analysis /
por: Good, Phillip I.
Publicado: (2001)

Resampling methods : a practical guide to data analysis
por: Good, Phillip I.
Publicado: (1999)

Resampling methods for dependent data
por: Lahiri, S N
Publicado: (2003)

Resampling methods for dependent data /
por: Lahiri, S. N. (Soumendra Nath)
Publicado: (2003)

Resampling-based methods for biologists
por: Fieberg, John R., et al.
Publicado: (2020)

On validation and invalidation of biological models
por: Anderson, James, et al.
Publicado: (2009)

Resampling Methods Improve the Predictive Power of Modeling in Class-Imbalanced Datasets
por: Lee, Paul H.
Publicado: (2014)

Exploring Population Pharmacokinetic Modeling with Resampling Visualization
por: Zuo, Fenghua, et al.
Publicado: (2014)

Separating common from distinctive variation
por: van der Kloet, Frans M., et al.
Publicado: (2016)

Increased comparability between RNA-Seq and microarray data by utilization of gene sets
por: van der Kloet, Frans M., et al.
Publicado: (2020)

Resampling to address inequities in predictive modeling of suicide deaths
por: Reeves, Majerle, et al.
Publicado: (2022)

Resample aggregating improves the generalizability of connectome predictive modeling
por: O’Connor, David, et al.
Publicado: (2021)

Invaliding
Publicado: (1874)

To Invalids
Publicado: (1875)

Cannot write session to /tmp/vufind_sessions/sess_o4dq85i98scf65cnt639tavics