How to choose biomarkers in view of parameter estimation
| Autor: | Eliott Tixier, Damiano Lombardi, Jean-Frédéric Gerbeau |
|---|---|
| Přispěvatelé: | Gerbeau, Jean-Frédéric, Numerical simulation of biological flows ( REO ), Laboratoire Jacques-Louis Lions ( LJLL ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Université Paris Diderot - Paris 7 ( UPD7 ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Université Paris Diderot - Paris 7 ( UPD7 ) -Centre National de la Recherche Scientifique ( CNRS ) -Inria de Paris, Institut National de Recherche en Informatique et en Automatique ( Inria ) -Institut National de Recherche en Informatique et en Automatique ( Inria ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Université Paris Diderot - Paris 7 ( UPD7 ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Université Paris Diderot - Paris 7 ( UPD7 ) -Centre National de la Recherche Scientifique ( CNRS ) -Inria Paris-Rocquencourt, Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Université Paris Diderot - Paris 7 ( UPD7 ) -Centre National de la Recherche Scientifique ( CNRS ), Numerical simulation of biological flows (REO), Sorbonne Université (SU)-Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Jacques-Louis Lions (LJLL (UMR_7598)), Université Paris Diderot - Paris 7 (UPD7)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Jacques-Louis Lions (LJLL (UMR_7598)), Université Paris Diderot - Paris 7 (UPD7)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
0301 basic medicine
Statistics and Probability Inverse problems [ INFO.INFO-MO ] Computer Science [cs]/Modeling and Simulation Optimization problem Computer science Feature selection Sparse optimization 010103 numerical & computational mathematics Pulse Wave Analysis computer.software_genre 01 natural sciences Models Biological General Biochemistry Genetics and Molecular Biology 03 medical and health sciences Animals Humans Computer Simulation Myocytes Cardiac 0101 mathematics General Immunology and Microbiology Estimation theory Applied Mathematics Hemodynamics General Medicine [ MATH.MATH-NA ] Mathematics [math]/Numerical Analysis [math.NA] Mathematical Concepts Inverse problem [MATH.MATH-NA] Mathematics [math]/Numerical Analysis [math.NA] [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation 3. Good health Electrophysiological Phenomena Electrophysiology 030104 developmental biology ComputingMethodologies_PATTERNRECOGNITION Nonlinear Dynamics Modeling and Simulation Data mining [INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation General Agricultural and Biological Sciences computer [MATH.MATH-NA]Mathematics [math]/Numerical Analysis [math.NA] Algorithms Biomarkers |
| Popis: | In numerous applications in biophysics, physiology and medicine, the system of interest is studied by monitoring quantities, called biomarkers, extracted from measurements. These biomarkers convey some information about relevant hidden quantities, which can be seen as parameters of an underlying model. In this paper we propose a strategy to automatically design biomarkers to estimate a given parameter. Such biomarkers are chosen as the solution of a sparse optimization problem given a user-supplied dictionary of candidate features. The method is in particular illustrated with two realistic applications, one in electrophysiology and the other in hemodynamics. In both cases, our algorithm provides composite biomarkers which improve the parameter estimation problem. |
| Databáze: | OpenAIRE |
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