Cross-platform classification in microarray-based leukemia diagnostics
(2006) In Haematologica 91(6). p.821-824- Abstract
- 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... (More)
- 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. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/406090
- author
- Nilsson, Björn LU ; Andersson, Anna LU ; Johansson, M and Fioretos, Thoas LU
- organization
- publishing date
- 2006
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- cross-platform analysis, diagnostic classification, acute leukemia, gene expression profiling, humans, reproducibility, Oligonucleotide Array Sequence Analysis
- in
- Haematologica
- volume
- 91
- issue
- 6
- pages
- 4 pages
- publisher
- Ferrata Storti Foundation
- external identifiers
-
- pmid:16769585
- wos:000238322400026
- scopus:33745736739
- ISSN
- 1592-8721
- language
- English
- LU publication?
- yes
- id
- 06ab32b9-1295-4b99-9f8d-350186969705 (old id 406090)
- alternative location
- http://www.haematologica.org/cgi/content/abstract/91/6/821
- http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=16769585&dopt=Abstract
- date added to LUP
- 2016-04-01 12:28:17
- date last changed
- 2022-03-29 01:19:03
@article{06ab32b9-1295-4b99-9f8d-350186969705, abstract = {{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.}}, author = {{Nilsson, Björn and Andersson, Anna and Johansson, M and Fioretos, Thoas}}, issn = {{1592-8721}}, keywords = {{cross-platform analysis; diagnostic classification; acute leukemia; gene expression profiling; humans; reproducibility; Oligonucleotide Array Sequence Analysis}}, language = {{eng}}, number = {{6}}, pages = {{821--824}}, publisher = {{Ferrata Storti Foundation}}, series = {{Haematologica}}, title = {{Cross-platform classification in microarray-based leukemia diagnostics}}, url = {{http://www.haematologica.org/cgi/content/abstract/91/6/821}}, volume = {{91}}, year = {{2006}}, }