A method to use microarray and clinical data in sequential classification.
We investigate the problem of constructing a sequential classification procedure allowing for a classification into two (risk) groups at an average minimum cost or at the earliest possible time. The quality of the procedure is maintained by specified upper bounds for the conditional errors of the entire procedure.
Tusch
Guenter
G
Grand Valley State University, 1 Campus Drive, Allendale, MI 49401, USA.
D002965:Classification / Q000379:methods*; D006801:Humans; D016031:Liver Transplantation / Q000145:classification; D020411:Oligonucleotide Array Sequence Analysis