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1 papers selected
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| Categories: |
Functional genomics |
2001-06-08 [
Get PubMed ]
|
| Title: |
Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks |
| Authors: |
Javed Khan, Jun S. Wei, Markus Ringnér, Lao H. Saal, Marc Ladanyi, Frank Westermann, Frank Berthold, Manfred Schwab, Cristina R. Antonescu, Carsten Peterson, Paul S. Meltzer |
| Ref: |
Nat Med June 2001 Volume 7 Number 6 pp 673 - 679 |
| Abstract: |
The purpose of this study was to develop a method of classifying
cancers to specific diagnostic categories based on their gene expression
signatures using artificial neural networks (ANNs). We trained the ANNs
using the small, round blue-cell tumors (SRBCTs) as a model. These
cancers belong to four distinct diagnostic categories and often present
diagnostic dilemmas in clinical practice. The ANNs correctly classified all
samples and identified the genes most relevant to the classification.
Expression of several of these genes has been reported in SRBCTs, but
most have not been associated with these cancers. To test the ability of
the trained ANN models to recognize SRBCTs, we analyzed additional
blinded samples that were not previously used for the training procedure,
and correctly classified them in all cases. This study demonstrates the
potential applications of these methods for tumor diagnosis and the
identification of candidate targets for therapy.
|
| Comment: |
See also N&V:
Microarrays-the 21st century divining rod?
Y D He & S H Friend |
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