Pareto analysis for gene filtering in microarray experiments

G. Fleury, A. Hero, S. Yoshida, T. Carter, C. Barlow, A. Swaroop

Research output: Contribution to journalConference article

16 Citations (Scopus)

Abstract

We introduce a method for detecting strongly monotone evolutionary trends of gene expression from a temporal sequence of microarray data. In this method we perform gene filtering via multi-objective optimization to reveal genes which have the properties of: strong monotonic increase, high end-to-end slope and low slope deviation. Both a global Pareto optimization and a pair-wise local Pareto optimization are investigated. This gene filtering method is illustrated on mouse retinal genes acquired at different points over the lifetimes of a population of mice.

Original languageEnglish
Article number7072128
JournalEuropean Signal Processing Conference
Volume2002-March
Publication statusPublished - Mar 27 2002
Event11th European Signal Processing Conference, EUSIPCO 2002 - Toulouse, France
Duration: Sep 3 2002Sep 6 2002

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering

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    Fleury, G., Hero, A., Yoshida, S., Carter, T., Barlow, C., & Swaroop, A. (2002). Pareto analysis for gene filtering in microarray experiments. European Signal Processing Conference, 2002-March, [7072128].