科研情况 |
| 1. Wenying He, Cangzhi Jia*, Quan Zou*. 4mCPred: Machine Learning Methods for DNA N4-methylcytosine sites Prediction.
Bioinformatics. doi: 10.1093/bioinformatics/bty668 (SCI, IF2016=7.307, PMID: 30052767)web |
| 2. Wenying He, Ying Ju, Xiangxiang Zeng, Xiangrong Liu*, Quan Zou*. Sc-ncDNAPred: A sequence-based predictor for identifying non-coding DNA in Saccharomyces cerevisiae.
Frontiers in Microbiology. 2018, 9: 2174. (SCI, IF2016=4.076, PMID: 30258427).web |
| 3. Wenying He, Cangzhi Jia, Yucong Duan, Quan Zou*. 70ProPred: a predictor for discovering sigma70 promoters based on combining multiple features.
BMC Systems Biology. 2018,12(Suppl 4): 44(SCI, IF2015=2.208, PMID: 29745856).web |
| 4. Quan Zou, Wenying He. Special Protein Molecules Computational Identification [J].
International Journal of Molecular Sciences, 2018, 19(2). |
| 5. Cangzhijia, Wenying He, Yuhua Yao, OH-PRED: prediction of protein hydroxylation sites by incorporating
adapted normal distribution bi-profile Bayes feature extraction and physicochemical properties of amino acids,
Journal of Biomolecular Structure and Dynamics, 2016, 5, 1-7.web |
| 6. Jia C, He W, Zou Q. DephosSitePred: A High Accuracy Predictor for Protein Dephosphorylation Sites[J].
Combinatorial chemistry & high throughput screening, 2017, 20(2): 153-157.web |
| 7. Jia C, He W. EnhancerPred: a predictor for discovering enhancers based on the combination and selection of multiple features[J].
Scientific reports, 2016, 6: srep38741.web |
| 8. He W, Jia C. EnhancerPred2. 0: predicting enhancers and their strength based on position-specific trinucleotide propensity and electron–ion interaction potential feature selection[J].
Molecular BioSystems, 2017, 13(4): 767-774.web |
