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 articlepeer-review

17 Citations (Scopus)


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
Publication statusPublished - Mar 27 2002
Externally publishedYes
Event11th European Signal Processing Conference, EUSIPCO 2002 - Toulouse, France
Duration: Sept 3 2002Sept 6 2002

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering


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