Skip to Main content Skip to Navigation
New interface
Preprints, Working Papers, ...

How to choose biomarkers in view of parameter estimation

Jean-Frédéric Gerbeau 1 Damiano Lombardi 1 Eliott Tixier 2 
1 REO - Numerical simulation of biological flows
SU - Sorbonne Université, Inria de Paris, LJLL (UMR_7598) - Laboratoire Jacques-Louis Lions
Abstract : 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.
Document type :
Preprints, Working Papers, ...
Complete list of metadata

Cited literature [30 references]  Display  Hide  Download
Contributor : Jean-Frédéric Gerbeau Connect in order to contact the contributor
Submitted on : Friday, June 8, 2018 - 3:52:52 PM
Last modification on : Wednesday, June 8, 2022 - 12:50:07 PM
Long-term archiving on: : Sunday, September 9, 2018 - 6:04:31 PM


Files produced by the author(s)


  • HAL Id : hal-01811158, version 1


Jean-Frédéric Gerbeau, Damiano Lombardi, Eliott Tixier. How to choose biomarkers in view of parameter estimation. 2018. ⟨hal-01811158⟩



Record views


Files downloads