Abstract #301120

This is the preliminary program for the 2003 Joint Statistical Meetings in San Francisco, California. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 2-5, 2003); 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.

Back to main JSM 2003 Program page
JSM 2003 Abstract #301120
Activity Number: 402
Type: Invited
Date/Time: Wednesday, August 6, 2003 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistical Computing
Abstract - #301120
Title: Statistical Methods that Explain Biological Data by Automatically Interpreting Scientific Literature
Author(s): Soumya Raychaudhuri*+
Companies: Stanford University
Address: MSOB X-215, Stanford, CA, 94305,
Keywords: bioinformatics ; microarray ; natural language processing ; text mining ; functional genomics ; gene expression
Abstract:

High-throughput technologies permit rapid characterization of many genes simultaneously; one such method is gene expression measurements by microarray. The current challenge in bioinformatics is to devise methods to interpret the results of such large-scale experimental assays so that the properties and interactions of individual genes can be identified. To do this effectively, computational methods must integrate significant background information. Since all biological discoveries are recorded primarily in the scientific literature, the corpus of biological scientific text contains almost all of the necessary background information. I discuss our efforts at devising computational approaches that automatically access the corpus of scientific literature to analyze gene expression data. These methods draw on concepts from statistical pattern recognition and statistical text processing.

  • 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 2003 program

JSM 2003 For information, contact meetings@amstat.org or phone (703) 684-1221. If you have questions about the Continuing Education program, please contact the Education Department.
Revised March 2003