| In the last decade, molecular biologists have been using DNA micro-arrays as a tool for analyzing information in gene expression data. During the laboratory process, some spots on the array may be missing due to various factors, for example machine error.; We suggest here a new method of the estimation of missing entries in a gene expression matrix, which is done simultaneously-i.e., the estimation of one missing entry influences the estimation of other entries. Our method is closely related to the methods and techniques used for solving inverse eigenvalue problems. |
