Fitmix: An R Package for Mixture Modeling of the Budding Yeast <i>S. cerevisiae</i> Replicative Lifespan (RLS) Distributions
Replicative lifespan (RLS) of the budding yeast is the number of mother cell divisions until senescence and is instrumental to understanding mechanisms of cellular aging. Recent research has shown that replicative aging is heterogeneous, which argues for mixture modeling. The mixture model is a stat...
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| Format: | Article |
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MDPI AG
2021-06-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/11/13/6114 |
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| author | Emine Güven Hong Qin |
| author_facet | Emine Güven Hong Qin |
| author_sort | Emine Güven |
| collection | DOAJ |
| description | Replicative lifespan (RLS) of the budding yeast is the number of mother cell divisions until senescence and is instrumental to understanding mechanisms of cellular aging. Recent research has shown that replicative aging is heterogeneous, which argues for mixture modeling. The mixture model is a statistical method to infer subpopulations of the heterogeneous population. Mixture modeling is a relatively underdeveloped area in the study of cellular aging. There is no open access software currently available that assists extensive comparison among mixture modeling methods. To address these needs, we developed an R package called <b>fitmix</b> that facilitates the computation of well-known distributions utilized for RLS data and other lifetime datasets. This package can generate a group of functions for the estimation of probability distributions and simulation of random observations from well-known finite mixture models including Gompertz, Log-logistic, Log-normal, and Weibull models. To estimate and compute the maximum likelihood estimates of the model parameters, the Expectation–Maximization (EM) algorithm is employed. |
| first_indexed | 2024-03-10T09:54:17Z |
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| id | doaj.art-ee5f1caf05424b3b81631f1ff21bbc68 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T09:54:17Z |
| publishDate | 2021-06-01 |
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| spelling | doaj.art-ee5f1caf05424b3b81631f1ff21bbc682023-11-22T02:31:29ZengMDPI AGApplied Sciences2076-34172021-06-011113611410.3390/app11136114Fitmix: An R Package for Mixture Modeling of the Budding Yeast <i>S. cerevisiae</i> Replicative Lifespan (RLS) DistributionsEmine Güven0Hong Qin1Department of Biomedical Engineering, Engineering Faculty, Düzce University, Düzce 81620, TurkeyDepartment of Computer Science and Engineering, SimCenter, University of Tennessee at Chattanooga, Chattanooga, TN 37403, USAReplicative lifespan (RLS) of the budding yeast is the number of mother cell divisions until senescence and is instrumental to understanding mechanisms of cellular aging. Recent research has shown that replicative aging is heterogeneous, which argues for mixture modeling. The mixture model is a statistical method to infer subpopulations of the heterogeneous population. Mixture modeling is a relatively underdeveloped area in the study of cellular aging. There is no open access software currently available that assists extensive comparison among mixture modeling methods. To address these needs, we developed an R package called <b>fitmix</b> that facilitates the computation of well-known distributions utilized for RLS data and other lifetime datasets. This package can generate a group of functions for the estimation of probability distributions and simulation of random observations from well-known finite mixture models including Gompertz, Log-logistic, Log-normal, and Weibull models. To estimate and compute the maximum likelihood estimates of the model parameters, the Expectation–Maximization (EM) algorithm is employed.https://www.mdpi.com/2076-3417/11/13/6114yeast agingmixture modelingGompertz mixture modelWeibull mixture modelmaximum likelihood estimationExpectation–Maximization (EM) |
| spellingShingle | Emine Güven Hong Qin Fitmix: An R Package for Mixture Modeling of the Budding Yeast <i>S. cerevisiae</i> Replicative Lifespan (RLS) Distributions Applied Sciences yeast aging mixture modeling Gompertz mixture model Weibull mixture model maximum likelihood estimation Expectation–Maximization (EM) |
| title | Fitmix: An R Package for Mixture Modeling of the Budding Yeast <i>S. cerevisiae</i> Replicative Lifespan (RLS) Distributions |
| title_full | Fitmix: An R Package for Mixture Modeling of the Budding Yeast <i>S. cerevisiae</i> Replicative Lifespan (RLS) Distributions |
| title_fullStr | Fitmix: An R Package for Mixture Modeling of the Budding Yeast <i>S. cerevisiae</i> Replicative Lifespan (RLS) Distributions |
| title_full_unstemmed | Fitmix: An R Package for Mixture Modeling of the Budding Yeast <i>S. cerevisiae</i> Replicative Lifespan (RLS) Distributions |
| title_short | Fitmix: An R Package for Mixture Modeling of the Budding Yeast <i>S. cerevisiae</i> Replicative Lifespan (RLS) Distributions |
| title_sort | fitmix an r package for mixture modeling of the budding yeast i s cerevisiae i replicative lifespan rls distributions |
| topic | yeast aging mixture modeling Gompertz mixture model Weibull mixture model maximum likelihood estimation Expectation–Maximization (EM) |
| url | https://www.mdpi.com/2076-3417/11/13/6114 |
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