JSM 2005 - Toronto

Abstract #302785

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

To View the Program:
You may choose to view all activities of the program or just parts of it at any one time. All activities are arranged by date and time.



The views expressed here are those of the individual authors
and not necessarily those of the ASA or its board, officers, or staff.

The Program has labeled the meeting rooms with "letters" preceding the name of the room, designating in which facility the room is located:

Minneapolis Convention Center = “MCC” Hilton Minneapolis Hotel = “H” Hyatt Regency Minneapolis = “HY”

Back to main JSM 2005 Program page
Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 377
Type: Invited
Date/Time: Wednesday, August 10, 2005 : 10:30 AM to 12:20 PM
Sponsor: SSC
Abstract - #302785
Title: Extracting Correlation Information from the GeneOntology Structures
Author(s): Rafal Kustra*+
Companies: University of Toronto
Address: Fac of Med Dept of Public Hlth, Toronto, ON, M5S,
Keywords:
Abstract:

Microarray data analysis often is characterized as challenging due to the small sample sizes as compared to the dimensionality of the problem. In many kinds of multivariate analysis of microarray data, such as in tumor classification examples, one needs to constrain the estimates of the covariance matrix either by prior dimension reduction or gene filtering or structural constraints (e.g., diagonal or Naïve Bayes models) or explicitly via regularization. The Gene Ontology project, which arranges all known Biological Processes (GO-BP) in a hierarchical structure (Directed Acyclic Graph) also collects annotation information for known genes of many organisms. This can be used to construct priors for the precision matrix of gene expression that can be used to penalize standard covariance matrix in multivariate modeling. We will show one way in which such precision matrix can be constructed out of the GO-BP structure and apply it in the analysis of real microarray data.

  • 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 2005 program

JSM 2005 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.
Revised March 2005