Rgtsp: A generalized top scoring pairs package for class prediction

Bioinformatics

Volumn 27, Issue 12, 2011, Pages 1729-1730

  Popovici, Vlad ^a,b   Budinská, Eva ^a,c   Delorenzi, Mauro ^a  

^a SWISS INSTITUTE OF BIOINFORMATICS   (Switzerland)

^b EPFL   (Switzerland)

^c MASARYK UNIVERSITY   (Czech Republic)

Author keywords

[No Author keywords available]

Indexed keywords

ESTROGEN RECEPTOR;

ARTICLE; CLASSIFICATION; COMPUTER PROGRAM; GENE EXPRESSION PROFILING; METABOLISM; METHODOLOGY;

CLASSIFICATION; GENE EXPRESSION PROFILING; RECEPTORS, ESTROGEN; SOFTWARE;

EID: 79958102960     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btr233     Document Type: Article

References (8)

1. Chapman,B. et al. (2007) Using OpenMP. The MIT Press.
2. Fürnkranz,J. (2002) Round robin classification. J. Mach. Learn. Res., 2, 721-747.
3. Geman,D. et al. (2004) Classifying gene expression profiles from pairwise mRNA comparisons. Stat. Appl. Genet. Mol. Biol., 3, Article19.
4. Hastie,T. et al. (2001) The Elements of Statistical Learning. Data Mining, Inference and Prediction. Springer.
5. Hess,K.R. et al. (2006) Pharmacogenomic predictor of sensitivity to preoperative chemotherapy with paclitaxel and fluorouracil, doxorubicin, and cyclophosphamide in breast cancer. J. Clin. Oncol., 24, 4236-4244.
6. Hsu,C.-W. and Lin,C.-J. (2002) A comparison of methods for multiclass support vector machines. IEEE Trans. Neural Netw., 13, 415-425.
7. Tan,A.C. et al. (2005) Simple decision rules for classifying human cancers from gene expression profiles. Bioinformatics, 21, 3896-3904.
8. Xu,L. et al. (2005) Robust prostate cancer marker genes emerge from direct integration of inter-study microarray data. Bioinformatics, 21, 3905-3911.