TY - JOUR
T1 - Pareto analysis for gene filtering in microarray experiments
AU - Fleury, G.
AU - Hero, A.
AU - Yoshida, S.
AU - Carter, T.
AU - Barlow, C.
AU - Swaroop, A.
PY - 2002/3/27
Y1 - 2002/3/27
N2 - 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.
AB - 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.
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M3 - Conference article
AN - SCOPUS:84960871577
SN - 2219-5491
VL - 2002-March
JO - European Signal Processing Conference
JF - European Signal Processing Conference
M1 - 7072128
T2 - 11th European Signal Processing Conference, EUSIPCO 2002
Y2 - 3 September 2002 through 6 September 2002
ER -