Title
Optimal selection of microarray analysis methods using a conceptual clustering algorithm
Abstract
The rapid development of methods that select over/under expressed genes from microarray experiments have not yet matched the need for tools that identify informational profiles that differentiate between experimental conditions such as time, treatment and phenotype. Uncertainty arises when methods devoted to identify significantly expressed genes are evaluated: do all microarray analysis methods yield similar results from the same input dataset? do different microarray datasets require distinct analysis methods?. We performed a detailed evaluation of several microarray analysis methods, finding that none of these methods alone identifies all observable differential profiles, nor subsumes the results obtained by the other methods. Consequently, we propose a procedure that, given certain user-defined preferences, generates an optimal suite of statistical methods. These solutions are optimal in the sense that they constitute partial ordered subsets of all possible method-associations bounded by both, the most specific and the most sensitive available solution.
Year
DOI
Venue
2006
10.1007/11732242_16
EvoWorkshops
Keywords
Field
DocType
microarray experiment,optimal selection,input dataset,conceptual clustering algorithm,microarray analysis method,informational profile,experimental condition,distinct analysis method,certain user-defined preference,different microarray datasets,detailed evaluation,optimal suite,partial order,microarray analysis,conceptual clustering
Evolutionary algorithm,Computer science,Algorithm,Multi-objective optimization,Microarray analysis techniques,Association rule learning,Conceptual clustering,Gene chip analysis,DNA microarray,Bounded function
Conference
Volume
ISSN
ISBN
3907
0302-9743
3-540-33237-5
Citations 
PageRank 
References 
2
0.43
6
Authors
6
Name
Order
Citations
PageRank
C. Rubio-Escudero1364.12
Rocío Romero-Záliz2619.30
O. Cordón3138066.74
O. Harari4164.22
Coral del Val5949.83
I. Zwir61238.23