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This directory includes the published data science related projects.

Data Science Related Publication List

  1. Hao M, Li Y, Wang Y, Zhang S. Prediction of PKCθ inhibitory activity using the random forest algorithm. International Journal of Molecular Sciences 11, 3413-3433 (2010).

  2. Hao M, Li Y, Wang Y, Zhang S. Prediction of P2Y12 antagonists using a novel genetic algorithm-support vector machine coupled approach. Analytica Chimica Acta 690, 53-63 (2011).

  3. Hao M, Li Y, Wang Y, Zhang S. A classification study of respiratory syncytial virus (RSV) inhibitors by variable selection with random forest. International Journal of Molecular Sciences 12, 1259-1280 (2011).

  4. Hao M, Li Y, Wang Y, Zhang S. A classification study of human β3-adrenergic receptor agonists using BCUT descriptors. Molecular Diversity 15, 877-887 (2011).

  5. Hao M, Zhang S, Qiu J. Toward the prediction of FBPase inhibitory activity using chemoinformatics methods. International Journal of Molecular Sciences 13, 7015-7037 (2012).

  6. Hao M, Wang Y, Bryant S. An efficient algorithm coupled with synthetic minority oversampling technique to classify imbalanced PubChem BioAssay data. Analytica Chimica Acta 806, 117-127 (2014).

  7. Hao M, Wang Y, Bryant S. Improved prediction of drug-target interactions using regularized least squares integrating with kernel fusion technique. Analytica Chimica Acta 909, 41-50 (2016).

  8. Hao M, Bryant S, Wang Y. Predicting drug-target interactions by dual-network integrated logistic matrix factorization. Scientific Reports 7, 40376 (2017).

  9. Hao M, Bryant S, Wang Y. Open-source chemogenomic data-driven algorithms for predicting drug-target interactions. Briefings in Bioinformatics (2018).

  10. Hao M, Bryant S, Wang Y. A new chemoinformatics approach with improved strategies for effective predictions of potential drugs. Journal of Cheminformatics 10, 50 (2018).