A special feature of Probability and Statistics Day at UMBC 2015 is that the conference, including the workshop, is open to all statistics graduate students
from UMBC and local universites free of charge; however, REGISTRATION IS REQUIRED! The deadline to register is Friday,
April 3, 2015. // REGISTER NOW
For more information, contact any member of the organizing committee:
Bimal Sinha
Conference Chair
443.538.3012
Kofi Adragni
410.455.2406
Yvonne Huang
410.455.2422
Yaakov Malinovsky
410.455.2968
Thomas Mathew
410.455.2418
Nagaraj Neerchal
410.455.2437
DoHwan Park
410.455.2408
Junyong Park
410.455.2407
Anindya Roy
410.455.2435
Elizabeth Stanwyck
410.455.5731
Participant Information
Burcin Simsek
Paper: Application of Conway-Maxwell-Poisson generalized linear models for mRNA count data
Autors: Burcin Simsek, Satish Iyengar Department of Statistics, University of Pittsburgh Direct detection of gene activity is often not possible because new proteins from individual activation events are masked by proteins remaining from previous events. Thus, researchers determine the gene activation or inactivation by observing mRNA production because mRNA translation occurs in short rapid bursts when the gene is in an on-state and no translations are in an off-state. This burstiness of mRNA production is not well modeled by a Poisson process. We propose the Conway-Maxwell-Poisson count distribution, which generalizes the Poisson model. We use E. coli bacteria data to illustrate our proposed model, and compare the results with standard negative binomial regression model results.
