The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Online Program Home
Abstract Details
Activity Number:
|
489
|
Type:
|
Invited
|
Date/Time:
|
Wednesday, August 1, 2012 : 10:30 AM to 12:20 PM
|
Sponsor:
|
IMS
|
Abstract - #303655 |
Title:
|
Order Statistics and Gene Regulation
|
Author(s):
|
Donald Geman*+
|
Companies:
|
The Johns Hopkins University
|
Address:
|
Clark Hall, Baltimore, MD, 21218,
|
Keywords:
|
Computational biology ;
order statistics ;
gene regulation ;
disease prognosis
|
Abstract:
|
I will present a research program in statistical genomics focused on discovering gene regulatory patterns in health and disease from high-dimensional molecular data. Two barriers to mature applications are the complexity of the descriptions which typically emerge from standard computational learning, impeding biomedical understanding, and mixed performance in cross-study validation, impeding further development and eventual clinical applications. I will argue that low-dimensional order statistics are easy to interpret, relatively invariant to data normalization and resistant to over-fitting, and can account for combinatorial interactions among genes and gene products. These ideas will be illustrated by diagnosing cancers from expression reversals, measuring pathway regulation with rank invariants, and modeling with pairwise comparisons.
|
The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
Back to the full JSM 2012 program
|
2012 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Continuing Education program, please contact the Education Department.