Pareto analysis for gene filtering in microarray experiments

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

研究成果: ジャーナルへの寄稿会議記事査読

17 被引用数 (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.

ジャーナルEuropean Signal Processing Conference
出版ステータス出版済み - 3月 27 2002
イベント11th European Signal Processing Conference, EUSIPCO 2002 - Toulouse, フランス
継続期間: 9月 3 20029月 6 2002

!!!All Science Journal Classification (ASJC) codes

  • 信号処理
  • 電子工学および電気工学


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