Zheng Wang
Affiliations: | University of Missouri-Columbia, Columbia, MO |
Area:
bioinformaticsGoogle:
"Zheng Wang"
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Publications
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| Liu T, Wang Z. (2020) MASS: predict the global qualities of individual protein models using random forests and novel statistical potentials. Bmc Bioinformatics. 21: 246 |
| Luttrell J, Liu T, Zhang C, et al. (2019) Predicting protein residue-residue contacts using random forests and deep networks. Bmc Bioinformatics. 20: 100 |
| Wang J, Luttrell J, Zhang N, et al. (2016) Exploring Human Diseases and Biological Mechanisms by Protein Structure Prediction and Modeling. Advances in Experimental Medicine and Biology. 939: 39-61 |
| Jiang Y, Oron TR, Clark WT, et al. (2016) An expanded evaluation of protein function prediction methods shows an improvement in accuracy. Genome Biology. 17: 184 |
| Liu T, Wang Y, Eickholt J, et al. (2016) Benchmarking Deep Networks for Predicting Residue-Specific Quality of Individual Protein Models in CASP11. Scientific Reports. 6: 19301 |
| Cao R, Wang Z, Wang Y, et al. (2014) SMOQ: a tool for predicting the absolute residue-specific quality of a single protein model with support vector machines. Bmc Bioinformatics. 15: 120 |
| Cao R, Wang Z, Cheng J. (2014) Designing and evaluating the MULTICOM protein local and global model quality prediction methods in the CASP10 experiment. Bmc Structural Biology. 14: 13 |
| Wang Z, Cao R, Cheng J. (2013) Three-level prediction of protein function by combining profile-sequence search, profile-profile search, and domain co-occurrence networks. Bmc Bioinformatics. 14: S3 |
| Radivojac P, Clark WT, Oron TR, et al. (2013) A large-scale evaluation of computational protein function prediction. Nature Methods. 10: 221-7 |
| Cheng J, Eickholt J, Wang Z, et al. (2012) Recursive Protein Modeling: A Divide And Conquer Strategy For Protein Structure Prediction And Its Case Study In Casp9 Journal of Bioinformatics and Computational Biology. 10: 1242003-1242003 |