Name
Abstract | ||
|---|---|---|
This paper describes a new approach to normalizing microarray expression data. The novel feature is to unify the tasks of estimating normalization coefficients and identifying control gene set. Unification is realized by constructing a window function over the scatter plot defining the subset of constantly expressed genes and by affecting optimization using an iterative procedure. The structure of window function gates contributions to the control gene set used to estimate normalization coefficients. This window measures the consistency of the matched neighborhoods in the scatter plot and provides a means of rejecting control gene outliers. The recovery of normalizational regression and control gene selection are interleaved and are realized by applying coupled operations to the mean square error function. In this way, the two processes bootstrap one another. We evaluate the technique on real microarray data from breast cancer cell lines and complement the experiment with a data cluster visualization study. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/4233.992159 | IEEE Transactions on Information Technology in Biomedicine |
Keywords | DocType | Volume |
data cluster visualization study,gene microarray,scatter plot,gene expression,linear regression.,iterative normalization,real microarray data,mean square error function,index terms—data normalization,normalization coefficient,control gene outlier,dynamic programming,control gene set,cdna microarray data,microarray expression data,control gene selection,control gene,dna,algorithms,breast cancer,gene selection,scattering,data visualization,maximum likelihood estimation,optimization,window function,microarray data,statistical analysis,mean square error,genetics,data clustering,probability,linear regression,indexing terms | Journal | 6 |
Issue | ISSN | Citations |
1 | 1089-7771 | 13 |
PageRank | References | Authors |
2.74 | 2 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Y Wang | 1 | 82 | 9.05 |
| Jianping Lu | 2 | 13 | 3.08 |
| Richard Lee | 3 | 13 | 2.74 |
| Zhiping Gu | 4 | 132 | 9.49 |
| Robert Clarke | 5 | 191 | 24.01 |