**IMA Complex Systems Seminar**

**2:30 Wednesday, October 29,
2003**

Missing Value Estimation Methods for DNA Microarrays

Department of Mathematics, Statistics, and
Computer Science

University of Illinois at Chicago

Chicago, IL
60607-7045

In this talk we first survey the known
methods for estimation for missing values in gene microaarays:

1.
Row average.

2.
Clustering methods.

3.
Singular value decomposition (principal-component analysis).

The draw back of these methods is that the
recovery of the missing data is done independently, i.e. the completion of each
missing value does not influence the completion of other values.

Next we discuss a new method for a completion
of missing values in which the completion is done simultaneously. It is inspired by the methods for solutions
of the inverse eigenvalue problems.