Open AccessBagging to improve the accuracy of a clustering procedure
Author(s) -
Sandrine Dudoit,
Jane Fridlyand
Publication year - 2003
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btg038
Subject(s) - cluster analysis , computer science , data mining , resampling , bioconductor , identification (biology) , bootstrap aggregating , machine learning , artificial intelligence , biochemistry , chemistry , botany , biology , gene
The microarray technology is increasingly being applied in biological and medical research to address a wide range of problems such as the classification of tumors. An important statistical question associated with tumor classification is the identification of new tumor classes using gene expression profiles. Essential aspects of this clustering problem include identifying accurate partitions of the tumor samples into clusters and assessing the confidence of cluster assignments for individual samples.