Initial state perturbations as a validation method for data-driven fuzzy models of cellular networks
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2105
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Initial state perturbations as a validation method for data-driven fuzzy models of cellular networks ; volume:19 ; number:1 ; day:21 ; month:9 ; year:2018 ; pages:1-7 ; date:12.2018
BMC bioinformatics ; 19, Heft 1 (21.9.2018), 1-7, 12.2018
- Classification
-
Biowissenschaften, Biologie
- Creator
-
Magdevska, Lidija
- Contributor
-
Mraz, Miha
Zimic, Nikolaj
Moškon, Miha
SpringerLink (Online service)
- DOI
-
10.1186/s12859-018-2366-0
- URN
-
urn:nbn:de:101:1-2018110523194947343829
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
- 14.08.2025, 10:47 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Magdevska, Lidija
- Mraz, Miha
- Zimic, Nikolaj
- Moškon, Miha
- SpringerLink (Online service)
Other Objects (12)
Initial state perturbations in ensemble forecasting
Generalized fuzzy difference method for solving fuzzy initial value problem
Data-driven statistical learning to model cellular heterogeneity
Predicting cellular responses to complex perturbations in high‐throughput screens
Mechanistic dissection of cellular perturbations with interpretable deep learning models
A Numerical Solution of Fuzzy Initial Value Problem Based on Fuzzy Method
Histone acylation marks respond to metabolic perturbations and enable cellular adaptation
Fuzzy-logic framework for future dynamic cellular systems
Fuzzy cellular automaton with slow-to-start property
Learning to encode cellular responses to systematic perturbations with deep generative models
INITIAL AND BOUNDARY VALUE PROBLEMS FOR FUZZY DIFFERENTIAL EQUATIONS
A Note on Fuzzy Initial Value Problem for N th-Order Fuzzy Linear Differential Equations
Initial state perturbations in ensemble forecasting
Generalized fuzzy difference method for solving fuzzy initial value problem
Data-driven statistical learning to model cellular heterogeneity
Predicting cellular responses to complex perturbations in high‐throughput screens
Mechanistic dissection of cellular perturbations with interpretable deep learning models
A Numerical Solution of Fuzzy Initial Value Problem Based on Fuzzy Method
Histone acylation marks respond to metabolic perturbations and enable cellular adaptation
Fuzzy-logic framework for future dynamic cellular systems
Fuzzy cellular automaton with slow-to-start property
Learning to encode cellular responses to systematic perturbations with deep generative models
INITIAL AND BOUNDARY VALUE PROBLEMS FOR FUZZY DIFFERENTIAL EQUATIONS
A Note on Fuzzy Initial Value Problem for N th-Order Fuzzy Linear Differential Equations
Initial state perturbations in ensemble forecasting
Generalized fuzzy difference method for solving fuzzy initial value problem
Data-driven statistical learning to model cellular heterogeneity
Predicting cellular responses to complex perturbations in high‐throughput screens
Mechanistic dissection of cellular perturbations with interpretable deep learning models
A Numerical Solution of Fuzzy Initial Value Problem Based on Fuzzy Method
Histone acylation marks respond to metabolic perturbations and enable cellular adaptation
Fuzzy-logic framework for future dynamic cellular systems
Fuzzy cellular automaton with slow-to-start property
Learning to encode cellular responses to systematic perturbations with deep generative models
INITIAL AND BOUNDARY VALUE PROBLEMS FOR FUZZY DIFFERENTIAL EQUATIONS