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Items: 8

1.

Protein sequence classification using feature hashing.

Caragea C, Silvescu A, Mitra P.

Proteome Sci. 2012 Jun 21;10 Suppl 1:S14. doi: 10.1186/1477-5956-10-S1-S14.

2.

Protein-RNA interface residue prediction using machine learning: an assessment of the state of the art.

Walia RR, Caragea C, Lewis BA, Towfic F, Terribilini M, El-Manzalawy Y, Dobbs D, Honavar V.

BMC Bioinformatics. 2012 May 10;13:89. doi: 10.1186/1471-2105-13-89.

3.

Abstraction Augmented Markov Models.

Caragea C, Silvescu A, Caragea D, Honavar V.

Proc IEEE Int Conf Data Min. 2010 Dec 13:68-77.

4.

Semi-supervised prediction of protein subcellular localization using abstraction augmented Markov models.

Caragea C, Caragea D, Silvescu A, Honavar V.

BMC Bioinformatics. 2010 Oct 26;11 Suppl 8:S6. doi: 10.1186/1471-2105-11-S8-S6.

5.

Struct-NB: predicting protein-RNA binding sites using structural features.

Towfic F, Caragea C, Gemperline DC, Dobbs D, Honavar V.

Int J Data Min Bioinform. 2010;4(1):21-43.

6.

Mixture of experts models to exploit global sequence similarity on biomolecular sequence labeling.

Caragea C, Sinapov J, Dobbs D, Honavar V.

BMC Bioinformatics. 2009 Apr 29;10 Suppl 4:S4. doi: 10.1186/1471-2105-10-S4-S4.

7.

Striking similarities in diverse telomerase proteins revealed by combining structure prediction and machine learning approaches.

Lee JH, Hamilton M, Gleeson C, Caragea C, Zaback P, Sander JD, Li X, Wu F, Terribilini M, Honavar V, Dobbs D.

Pac Symp Biocomput. 2008:501-12.

8.

Glycosylation site prediction using ensembles of Support Vector Machine classifiers.

Caragea C, Sinapov J, Silvescu A, Dobbs D, Honavar V.

BMC Bioinformatics. 2007 Nov 9;8:438.

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