JSM 2015 Preliminary Program

Online Program Home
My Program

Abstract Details

Activity Number: 86
Type: Contributed
Date/Time: Sunday, August 9, 2015 : 4:00 PM to 5:50 PM
Sponsor: Biopharmaceutical Section
Abstract #315521
Title: Gene-Network--Based Predictive Modeling for High-Dimensional Genomic Data
Author(s): Rui Zhong* and Xin Huang and Viswanath Devanarayan
Companies: AbbVie and AbbVie and AbbVie
Keywords: gene network ; high dimensional ; genomics data
Abstract:

Identification of biomarkers with prognostic or predictive power has been an interesting topic in both academia and industry. However, interpretation of biological significance of identified biomarkers has been a challenge. Genes and proteins work in network rather than individually and therefore hub genes within biological network might play a central role in multiple biological processes and functions. Reconstruction of gene regulatory networks can help us identify hub genes. Here we demonstrate how the incorporation of hub genes to the predictive model building process for genomic data can yield more biologically meaningful signatures without compromising predictive performance. In some cases, we also show that the hub-gene based predictive signatures outperform standard machine learning approaches that do not employ the gene network approach. We illustrate this using data from a Neuroblastoma study.


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