title: Cross-platform microarray data integration using the normalised linear transform.
abstract: Small sample size is one of the biggest challenges in microarray data analysis. With microarray data being dramatically accumulated, integrating data from related studies represents a natural way to increase sample size so that more reliable statistical analysis may be performed. In this paper, we present a simple and effective integration scheme, called Normalised Linear Transform (NLT), to combine data from different microarray platforms. The NLT scheme is compared with three other integration schemes for two tasks: classification analysis and gene marker selection. Our experiments demonstrate that the NLT scheme performs best in terms of classification accuracy, and leads to more biologically significant marker genes.
authors.affiliation: Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai 200240, China. hlxiong@sjtu.edu.cn
authors.forename: Huilin
authors.initials: H
authors.lastname: Xiong
authors.forename: Ya
authors.initials: Y
authors.lastname: Zhang
authors.forename: Xue-Wen
authors.initials: XW
authors.lastname: Chen
authors.forename: Jiangsheng
authors.initials: J
authors.lastname: Yu
mesh_terms: D005819:Genetic Markers; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D018401:Sample Size; D013223:Statistics as Topic
chemical_list: D005819:Genetic Markers