Data mining in bioinformatics using Weka

Bioinformatics

Volumn 20, Issue 15, 2004, Pages 2479-2481

  Frank, Eibe ^a   Hall, Mark ^a   Trigg, Len ^b   Holmes, Geoffrey ^a   Witten, Ian H ^a  

^a UNIVERSITY OF WAIKATO   (New Zealand)

^b Reel Two   (New Zealand)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; BIOINFORMATICS; CLUSTER ANALYSIS; COMPUTER INTERFACE; INFORMATION PROCESSING; INFORMATION RETRIEVAL; MACHINE; MEDICAL RESEARCH; PRIORITY JOURNAL;

GALLIRALLUS AUSTRALIS;

EID: 7244250182     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/bth261     Document Type: Article

References (9)

1. Bazzan,A.L., Engel,P.M., Schroeder,L.F. and Da Silva,S.C. (2002) Automated annotation of keywords for proteins related to mycoplasmataceae using machine learning techniques. Bioinformatics, 18 (Suppl. 2), 35S-43S.
2. Bekaert,M., Bidou,L., Denise,A., Duchateau-Nguyen,G., Forest,J.P., Froidevaux,C., Hatin,I., Rousset,J.P. and Termier,M. (2003) Towards a computational model for -1 eukaryotic frameshifting sites. Bioinformatics, 19, 327-335.
3. Kretschmann,E., Fleischmann,W. and Apweiler,R. (2001) Automatic rule generation for protein annotation with the C4.5 data mining algorithm applied on SWISS-PROT. Bioinformatics, 17, 920-926.
4. Li,J. and Wong,L. (2002) Identifying good diagnostic gene groups from gene expression profiles using the concept of emerging patterns. Bioinformatics, 18, 725-734.
5. Li,J., Liu,H., Ng,S.K. and Wong,L. (2003a). Discovery of significant rules for classifying cancer diagnosis data. Bioinformatics. 19 (Suppl. 2), II93-II102.
6. Li,J., Liu,H., Downing,J.R., Yeoh,A.E. and Wong,L. (2003b) Simple rules underlying gene expression profiles of more than six subtypes of acute lymphoblastic leukemia (ALL) patients. Bioinformatics, 19, 71-78.
7. Taylor,J., King,R.D., Altmann,T. and Fiehn,O. (2002) Application of metabolomics to plant genotype discrimination using statistics and machine learning. Bioinformatics, 18 (Suppl. 2). 241S-248S.
8. Tobler,J.B., Molla,M.N., Nuwaysir,E.F., Green,R.D. and Shavlik,J.W. (2002) Evaluating machine learning approaches for aiding probe selection for gene-expression arrays. Bioinformatics, 18 (Suppl. 1), 164S-171S.
9. Witten,I.H. and Frank,E. (2000) Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations. Morgan Kaufmann, San Francisco, CA.