JSM 2015 Preliminary Program

Online Program Home
My Program

Abstract Details

Activity Number: 429
Type: Contributed
Date/Time: Tuesday, August 11, 2015 : 2:00 PM to 3:50 PM
Sponsor: Biometrics Section
Abstract #315726 View Presentation
Title: Estimating Dynamic Gene Regulation Network
Author(s): Yunlong Nie*
Companies: Simon Fraser University
Keywords: functional data analysis ; dynamic gene network ; ordinary differential equations
Abstract:

The problem of modeling the dynamic feature within a gene regulation network is of great interest for a long time. We propose to model this dynamical system with a set of ordinary differential equations(ODEs), in which the regulation function is estimated directly from data without any parametric assumption. Most current research assumes the gene regulation network is static, but in reality the connection and regulation function of the network may change with time or environment. This change is reflected in our dynamical model by modelling the regulation function varying with gene expression and allowing this regulation function to be zero if no regulation happens. We introduce a statistical method called `functional fSCAD' to estimate a time-varying sparse gene regulation network, and, simultaneously, to provide a smooth estimator for the regulation function and identify the interval in which no regulation exists. The performance of the proposed method for finite sample is investigated in a carefully-designed Monte Carlo simulation study. Our method is also demonstrated by estimating a sparse network related to 588 gene involved in the life cycle of Drosophila melanogaster.


Authors who are presenting talks have a * after their name.

Back to the full JSM 2015 program





For program information, contact the JSM Registration Department or phone (888) 231-3473.

For Professional Development information, contact the Education Department.

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

2015 JSM Online Program Home