دورية أكاديمية
Statistical inference for a quasi birth–death model of RNA transcription
| العنوان: | Statistical inference for a quasi birth–death model of RNA transcription |
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| المؤلفون: | Mathisca de Gunst, Michel Mandjes, Birgit Sollie |
| المصدر: | BMC Bioinformatics, Vol 23, Iss 1, Pp 1-20 (2022) |
| بيانات النشر: | BMC, 2022. |
| سنة النشر: | 2022 |
| المجموعة: | LCC:Computer applications to medicine. Medical informatics LCC:Biology (General) |
| مصطلحات موضوعية: | Quasi birth–death process, Maximum likelihood estimation, Erlangization technique, RNA transcription, Computer applications to medicine. Medical informatics, R858-859.7, Biology (General), QH301-705.5 |
| الوصف: | Abstract Background A birth–death process of which the births follow a hypoexponential distribution with L phases and are controlled by an on/off mechanism, is a population process which we call the on/off-seq-L process. It is a suitable model for the dynamics of a population of RNA molecules in a single living cell. Motivated by this biological application, our aim is to develop a statistical method to estimate the model parameters of the on/off-seq-L process, based on observations of the population size at discrete time points, and to apply this method to real RNA data. Methods It is shown that the on/off-seq-L process can be seen as a quasi birth–death process, and an Erlangization technique can be used to approximate the corresponding likelihood function. An extensive simulation-based numerical study is carried out to investigate the performance of the resulting estimation method. Results and conclusion A statistical method is presented to find maximum likelihood estimates of the model parameters for the on/off-seq-L process. Numerical complications related to the likelihood maximization are identified and analyzed, and solutions are presented. The proposed estimation method is a highly accurate method to find the parameter estimates. Based on real RNA data, the on/off-seq-3 process emerges as the best model to describe RNA transcription. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1471-2105 |
| العلاقة: | https://doaj.org/toc/1471-2105Test |
| DOI: | 10.1186/s12859-022-04638-6 |
| الوصول الحر: | https://doaj.org/article/f4c60c67ecf54c7d93d7767ea4edab72Test |
| رقم الانضمام: | edsdoj.f4c60c67ecf54c7d93d7767ea4edab72 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 14712105 |
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| DOI: | 10.1186/s12859-022-04638-6 |