 | 2006 |
| 10 |  | Eric G. Bremer,
Jörg Hakenberg,
Eui-Hong Han,
Daniel P. Berrar,
Werner Dubitzky:
Knowledge Discovery in Life Science Literature, PAKDD 2006 International Workshop, KDLL 2006, Singapore, April 9, 2006, Proceedings
Springer 2006 |
| 9 |  | Cândida G. Silva,
Vitaliy Ostropytskyy,
Nuno Loureiro-Ferreira,
Daniel P. Berrar,
Martin Swain,
Werner Dubitzky,
Rui M. M. Brito:
P-found: The Protein Folding and Unfolding Simulation Repository.
CIBCB 2006: 1-8 |
| 8 |  | Daniel P. Berrar,
Werner Dubitzky:
Neural Plasma.
IFIP AI 2006: 159-168 |
| 7 |  | Jeyakumar Natarajan,
Daniel P. Berrar,
Werner Dubitzky,
Catherine J. Hack,
Yonghong Zhang,
Catherine DeSesa,
James R. Van Brocklyn,
Eric G. Bremer:
Text mining of full-text journal articles combined with gene expression analysis reveals a relationship between sphingosine-1-phosphate and invasiveness of a glioblastoma cell line.
BMC Bioinformatics 7: 373 (2006) |
| 6 |  | Daniel P. Berrar,
Ian Bradbury,
Werner Dubitzky:
Instance-based concept learning from multiclass DNA microarray data.
BMC Bioinformatics 7: 73 (2006) |
| 5 |  | Daniel P. Berrar,
Ian Bradbury,
Werner Dubitzky:
Avoiding model selection bias in small-sample genomic datasets.
Bioinformatics 22(10): 1245-1250 (2006) |
| 2005 |
| 4 |  | Frederic Stahl,
Daniel P. Berrar,
Cândida G. Silva,
R. J. Rodrigues,
Rui M. M. Brito,
Werner Dubitzky:
Grid warehousing of molecular dynamics protein unfolding data.
CCGRID 2005: 496-503 |
| 3 |  | Daniel P. Berrar,
Brian Sturgeon,
Ian Bradbury,
C. Stephen Downes,
Werner Dubitzky:
Survival Trees for Analyzing Clinical Outcome in Lung Adenocarcinomas Based on Gene Expression Profiles: Identification of Neogenin and Diacylglycerol Kinase Expression as Critical Factors.
Journal of Computational Biology 12(5): 534-544 (2005) |
| 2003 |
| 2 |  | Daniel P. Berrar,
C. Stephen Downes,
Werner Dubitzky:
A Probabilistic Neural Network for Gene Selection and Classification of Microarray Data.
IC-AI 2003: 342-352 |
| 1 |  | Daniel P. Berrar,
C. Stephen Downes,
Werner Dubitzky:
Multiclass Cancer Classification Using Gene Expression Profiling and Probabilistic Neural Networks.
Pacific Symposium on Biocomputing 2003: 5-16 |