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The Application of Artificial Intelligence to Microarray Data: Identification of a Novel Gene Signature to Identify Bladder Cancer Progression
Catto, James W.F., Abbod, Maysam F., Wild, Peter J., Linkens, Derek A., Pilarsky, Christian
, Rehman, Ishtiaq, Rosario, Derek J., Denzinger, Stefan, Burger, Maximilian, Stoehr, Robert, Knuechel, Ruth, Hartmann, Arndt and Hamdy, Freddie C.
(2010)
The Application of Artificial Intelligence to Microarray Data: Identification of a Novel Gene Signature to Identify Bladder Cancer Progression.
European Urology 57 (3), pp. 398-406.
Date of publication of this fulltext: 19 Dec 2024 11:39
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| Item type | Article | ||||
| Journal or Publication Title | European Urology | ||||
| Publisher: | ELSEVIER SCIENCE BV | ||||
|---|---|---|---|---|---|
| Place of Publication: | AMSTERDAM | ||||
| Volume: | 57 | ||||
| Number of Issue or Book Chapter: | 3 | ||||
| Page Range: | pp. 398-406 | ||||
| Date | 2010 | ||||
| Institutions | Medicine > Lehrstuhl für Urologie | ||||
| Identification Number |
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| Keywords | SUPPORT VECTOR MACHINES; NEURAL-NETWORKS; URINARY-BLADDER; EXPRESSION; CARCINOMA; RECURRENCE; PREDICTION; CLASSIFICATION; VALIDATION; DISEASE; Artificial intelligence; Gene array; Bladder cancer; Prognosis | ||||
| Dewey Decimal Classification | 600 Technology > 610 Medical sciences Medicine | ||||
| Status | Published | ||||
| Refereed | Yes, this version has been refereed | ||||
| Created at the University of Regensburg | Yes | ||||
| Item ID | 66322 |
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