Yıl 2018, Cilt 47, Sayı 5, Sayfalar 1335 - 1347 2018-10-16

Overdispersed count models for mRNA transcription

Burcin Simsek [1] , Satish Iyengar [2]

10 13

Direct detection of gene activity is often not possible because new proteins from an individual activation event are masked by proteins remaining from previous events. Thus, researchers determine gene activation or inactivation by observing messenger RNA (mRNA) production instead. Typically, mRNA transcription occurs in short rapid bursts when the gene is in its on-state, and no transcriptions during its offstate. This burstiness of mRNA production is not well modeled by a Poisson process. We propose the Conway-Maxwell-Poisson (COM- Poisson) distribution as a potential alternative to the more common negative binomial (NB) distribution. We use the generalized linear model version of these models to incorporate covariate information. We also consider zero inflation to model excess zero counts. We use data from E. coli bacteria and mammalian cells to illustrate our proposed methods. We find that when there is a biophysically derived distribution, this distribution performs well. We also show that in the absence of such biophysical knowledge, the COM-Poisson is competitive with the NB. Both the COM-Poisson and NB arise in queueing theory, suggesting that further application of that framework to study mRNA dynamics would be useful.
Conway-Maxwell-Poisson, Link function, Model comparison, Negative binomial, Generalized linear model
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Birincil Dil en
Konular Matematik
Dergi Bölümü İstatistik

Yazar: Burcin Simsek (Sorumlu Yazar)
Ülke: United States

Yazar: Satish Iyengar
Ülke: United States

Bibtex @araştırma makalesi { hujms471515, journal = {Hacettepe Journal of Mathematics and Statistics}, issn = {2651-477X}, eissn = {2651-477X}, address = {Hacettepe Üniversitesi}, year = {2018}, volume = {47}, pages = {1335 - 1347}, doi = {}, title = {Overdispersed count models for mRNA transcription}, key = {cite}, author = {Iyengar, Satish and Simsek, Burcin} }
APA Simsek, B , Iyengar, S . (2018). Overdispersed count models for mRNA transcription. Hacettepe Journal of Mathematics and Statistics, 47 (5), 1335-1347. Retrieved from http://dergipark.gov.tr/hujms/issue/39860/471515
MLA Simsek, B , Iyengar, S . "Overdispersed count models for mRNA transcription". Hacettepe Journal of Mathematics and Statistics 47 (2018): 1335-1347 <http://dergipark.gov.tr/hujms/issue/39860/471515>
Chicago Simsek, B , Iyengar, S . "Overdispersed count models for mRNA transcription". Hacettepe Journal of Mathematics and Statistics 47 (2018): 1335-1347
RIS TY - JOUR T1 - Overdispersed count models for mRNA transcription AU - Burcin Simsek , Satish Iyengar Y1 - 2018 PY - 2018 N1 - DO - T2 - Hacettepe Journal of Mathematics and Statistics JF - Journal JO - JOR SP - 1335 EP - 1347 VL - 47 IS - 5 SN - 2651-477X-2651-477X M3 - UR - Y2 - 2017 ER -
EndNote %0 Hacettepe Journal of Mathematics and Statistics Overdispersed count models for mRNA transcription %A Burcin Simsek , Satish Iyengar %T Overdispersed count models for mRNA transcription %D 2018 %J Hacettepe Journal of Mathematics and Statistics %P 2651-477X-2651-477X %V 47 %N 5 %R %U
ISNAD Simsek, Burcin , Iyengar, Satish . "Overdispersed count models for mRNA transcription". Hacettepe Journal of Mathematics and Statistics 47 / 5 (Ekim 2018): 1335-1347.