JSM Activity #410

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Activity ID:  410
Title
Microarrays: Clustering and Discrimination
Date / Time / Room Sponsor Type
08/15/2002
10:30 AM - 12:20 PM
Room: S-Royal Ballroom B 		Biometrics Section*, Biopharmaceutical Section*, ENAR Contributed
Organizer: n/a
Chair: Manisha Desai, Columbia University
Discussant:  
Description

One can think of the data from a typical microarray study as having only a few rows but an enormous number of columns. In this, the third and final Biometrics Section session on microarrays, the talks will consider clustering and classification methods and methods for relating gene expression to disease phenotype.
  301432  By:  Rebecka J. Jornsten 10:35 AM 08/15/2002
Simultaneous Gene Clustering and Subset Selection for Classification via MDL

  301549  By:  David R. Bickel 10:50 AM 08/15/2002
Conservative Identification of D0ifferentially Expressed Genes Using cDNA or Oligonucleotide Microarrays

  301593  By:  Katherine  S. Pollard 11:05 AM 08/15/2002
A Method to Identify Significant Clusters in Gene Expression Data

  301777  By:  Jeanne  Kowalski 11:20 AM 08/15/2002
Nonparametric Analysis of Microarrays for Identifying Reproducible Differentially Expressed Genes

  301805  By:  Erin  Conlon 11:35 AM 08/15/2002
Motif Regressor: A Computational Method for Integrating Sequence Motif Discovery and Microarray Data

  301983  By:  Jae Won  Lee 11:50 AM 08/15/2002
Comparison of Recently Developed Classification Tools in Microarray Data Analysis

  301818  By:  Samir  Lababidi 12:05 PM 08/15/2002
Some Issues in Clustering Analysis with an Application to Microarray Gene Expression Data

JSM 2002

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Revised March 2002