Estimating an initial telomere length distribution from the Laplace transform of its senescence times distribution

Fuente: arXiv
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Main Author: Olayé, Jules
Format: Preprint
Published: 2026
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author Olayé, Jules
author_facet Olayé, Jules
contents This work follows from a previous study on the estimation of an initial distribution of telomere length from a senescence times distribution done in [10.1051/m2an/2026022, J. Olay{é}]. In this previous study, we have presented an estimation method based on the fact that our telomere shortening model can be approximated by a transport equation. This method has encouraging results, but fails to provide a good estimation when the variability of the initial telomere length distribution is too small. We improve here this method by approximating our model with an advection-diffusion equation, which allows us to better take into account the randomness of the shortening values. We show that under this approximation, there exists a simple link between the Laplace transform of the initial telomere length distribution and that of the senescence times distribution. Then, by using a numerical method for inverting Laplace transforms called Gaver-Stehfest algorithm, we exploit this link to construct a new estimator.
format Preprint
id arxiv_https___arxiv_org_abs_2603_27875
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Estimating an initial telomere length distribution from the Laplace transform of its senescence times distribution
Olayé, Jules
Analysis of PDEs
This work follows from a previous study on the estimation of an initial distribution of telomere length from a senescence times distribution done in [10.1051/m2an/2026022, J. Olay{é}]. In this previous study, we have presented an estimation method based on the fact that our telomere shortening model can be approximated by a transport equation. This method has encouraging results, but fails to provide a good estimation when the variability of the initial telomere length distribution is too small. We improve here this method by approximating our model with an advection-diffusion equation, which allows us to better take into account the randomness of the shortening values. We show that under this approximation, there exists a simple link between the Laplace transform of the initial telomere length distribution and that of the senescence times distribution. Then, by using a numerical method for inverting Laplace transforms called Gaver-Stehfest algorithm, we exploit this link to construct a new estimator.
title Estimating an initial telomere length distribution from the Laplace transform of its senescence times distribution
topic Analysis of PDEs
url https://arxiv.org/abs/2603.27875