The Effect of Gaussian Noise on Maximum Likelihood Fitting of Gompertz and Weibull Mortality Models with Yeast Lifespan Data

Basit Öğe Kaydı
dc.contributor.authorGüven, Emine
dc.contributor.authorAkçay, Sevinç
dc.contributor.authorQin, Hong
dc.date.accessioned2020-04-30T23:32:58Z
dc.date.available2020-04-30T23:32:58Z
dc.date.issued2019
dc.departmentDÜ, Mühendislik Fakültesi, Biyomedikal Mühendisliği Bölümüen_US
dc.descriptionAkcay, Sevinc/0000-0003-4233-0799; Qin, Hong/0000-0002-1060-6722en_US
dc.descriptionWOS: 000462836300005en_US
dc.descriptionPubMed: 30849020en_US
dc.description.abstractBackground/study context: Empirical lifespan data sets are often studied with the best-fitted mathematical model for aging. Here, we studied how experimental noises can influence the determination of the best-fitted aging model. We investigated the influence of Gaussian white noise in lifespan data sets on the fitting outcomes of two-parameter Gompertz and Weibull mortality models, commonly adopted in aging research. Methods: To un-equivocally demonstrate the effect of Gaussian white noises, we simulated lifespans based on Gompertz and Weibull models with added white noises. To gauge the influence of white noise on model fitting, we defined a single index, , for the difference between the maximal log-likelihoods of the Weibull and Gompertz model fittings. We then applied the approach using experimental replicative lifespan data sets for the laboratory BY4741 and BY4742 wildtype reference strains. Results: We systematically evaluated how Gaussian white noise can influence the maximal likelihood-based comparison of the Gompertz and Weibull models. Our comparative study showed that the Weibull model is generally more tolerant to Gaussian white noise than the Gompertz model. The effect of noise on model fitting is also sensitive to model parameters. Conclusion: Our study shows that Gaussian white noise can influence the fitting of an aging model for yeast replicative lifespans. Given that yeast replicative lifespans are hard to measure and are often pooled from different experiments, our study highlights that interpreting model fitting results should take experimental procedure variation into account, and the best fitting model may not necessarily offer more biological insights.en_US
dc.description.sponsorshipUniversity of Tennessee at Chattanooga start-up fund; National Science FoundationNational Science Foundation (NSF) [1453078, 1720215]en_US
dc.description.sponsorshipThis study was partially supported by the University of Tennessee at Chattanooga start-up fund and by the National Science Foundation Award #1453078 (transferred to #1720215).en_US
dc.identifier.doi10.1080/0361073X.2019.1586105en_US
dc.identifier.endpage179en_US
dc.identifier.issn0361-073X
dc.identifier.issn1096-4657
dc.identifier.issue2en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage167en_US
dc.identifier.urihttps://doi.org/10.1080/0361073X.2019.1586105
dc.identifier.urihttps://hdl.handle.net/20.500.12684/4863
dc.identifier.volume45en_US
dc.identifier.wosWOS:000462836300005en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakPubMeden_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherTaylor & Francis Incen_US
dc.relation.ispartofExperimental Aging Researchen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleThe Effect of Gaussian Noise on Maximum Likelihood Fitting of Gompertz and Weibull Mortality Models with Yeast Lifespan Dataen_US
dc.typeArticleen_US

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Küçük Resim Yok
İsim:
4863.pdf
Boyut:
2.12 MB
Biçim:
Adobe Portable Document Format
Açıklama:
Tam Metin / Full Text
İndir

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Makale Koleksiyonu
PubMed İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu