Abstract #300496

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JSM 2002 Abstract #300496
Activity Number: 294
Type: Invited
Date/Time: Wednesday, August 14, 2002 : 10:30 AM to 12:20 PM
Sponsor: Biopharmaceutical Section*
Abstract - #300496
Title: Cell and Tumor Classifications Using Gene Expression Data: Forests Versus Trees
Author(s): Heping Zhang*+
Affiliation(s): Yale University School of Medicine
Address: 60 College Street, New Haven, Connecticut, 06520-8034, USA
Keywords: Recursive Partitioning ; Cell and tumor classification ; Classification Trees and forests ; Gene Chip ; Cancer ; Microarry Expression
Abstract:

The advancement of gene chips has unveiled a promising technology for cell, tumor, and cancer classifications. We exploit the use of classification trees in tumor and cell classifications through gene expressions. To improve the classification and prediction accuracy, we introduce a deterministic procedure to form a forest and make comparisons to other existing alternatives. We also explore the use of two impurities rather than one impurity. Using three published and commonly used data sets, we found that the deterministic forest with two impurities outperforms other forests and single trees. In addition, we provided graphical presentations to understand our results and justified our findings with a literature search. This is a joint work with Chang-Yung Yu.

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Revised March 2002