Thoas Fioretos
Research team manager
Cross-platform classification in microarray-based leukemia diagnostics
Author
Summary, in English
Gene expression profiling is a powerful technique for classifying hematologic malignancies. Its clinical use is, however, currently hindered by the need to collect large sets of expression profiles at each diagnostic facility. To overcome this limitation, we introduced cross-platform classification, allowing classifier construction using pre-existing microarray datasets. As proof-of-principle, we performed cross-platform classification of acute myeloid leukemia and childhood acute lymphoblastic leukemia using expression data from four different facilities. We show that cross-platform classification of these disorders is achievable, and, strikingly, that the diagnostic accuracy can be retained. We conclude that cross-platform classification constitutes an effective and convenient way to implement microarray diagnostics.
Department/s
- Department of Laboratory Medicine
- Division of Clinical Genetics
Publishing year
2006
Language
English
Pages
821-824
Publication/Series
Haematologica
Volume
91
Issue
6
Links
Document type
Journal article
Publisher
Ferrata Storti Foundation
Topic
- Hematology
Keywords
- cross-platform analysis
- diagnostic classification
- acute leukemia
- gene expression profiling
- humans
- reproducibility
- Oligonucleotide Array Sequence Analysis
Status
Published
ISBN/ISSN/Other
- ISSN: 1592-8721