Kang Peng, Ph.D.
Affiliations: | 2006 | Temple University, Philadelphia, PA, United States |
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"Kang Peng"Parents
Sign in to add mentorZoran Obradovic | grad student | 2006 | Temple University | |
(Learning from protein structure related data.) |
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Publications
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Radivojac P, Peng K, Clark WT, et al. (2008) An integrated approach to inferring gene-disease associations in humans. Proteins. 72: 1030-7 |
Radivojac P, Peng K, Clark WT, et al. (2008) Predicting Protein-Disease Relationships Using Sequence, Physicochemical Properties, and Molecular Function Information Nature Precedings |
Peng K, Radivojac P, Vucetic S, et al. (2006) Length-dependent prediction of protein intrinsic disorder. Bmc Bioinformatics. 7: 208 |
Obradovic Z, Peng K, Vucetic S, et al. (2005) Exploiting heterogeneous sequence properties improves prediction of protein disorder. Proteins. 61: 176-82 |
Peng K, Vucetic S, Radivojac P, et al. (2005) Optimizing long intrinsic disorder predictors with protein evolutionary information. Journal of Bioinformatics and Computational Biology. 3: 35-60 |
Vucetic S, Obradovic Z, Vacic V, et al. (2005) DisProt: a database of protein disorder. Bioinformatics (Oxford, England). 21: 137-40 |
Peng K, Vucetic S, Obradovic Z. (2005) Correcting sampling bias in structural genomics through iterative selection of underrepresented targets Proceedings of the 2005 Siam International Conference On Data Mining, Sdm 2005. 621-625 |
Peng K, Obradovic Z, Vucetic S. (2004) Exploring bias in the Protein Data Bank using contrast classifiers. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 435-46 |
Obradovic Z, Peng K, Vucetic S, et al. (2003) Predicting intrinsic disorder from amino acid sequence. Proteins. 53: 566-72 |
Peng K, Vucetic S, Han B, et al. (2003) Exploiting unlabeled data for improving accuracy of predictive data mining Proceedings - Ieee International Conference On Data Mining, Icdm. 267-274 |