Shan-Shan Wang (王珊珊)

Research Assistant

Graduate Institute of Data Science,
Taipei Medical University, Taiwan

Scientific Publications

  1. C.C. Wang, P. Lin, C.Y. Chou, S.S. Wang and C.W. Tung* (2020) Prediction of human fetal–maternal blood concentration ratio of chemicals, PeerJ, 8, e9562.
  2. C.W. Tung*, H.J. Cheng, C.C. Wang, S.S. Wang and P. Lin* (2020) Leveraging Complementary Computational Models for Prioritizing Chemicals of Developmental and Reproductive Toxicity Concern: An Example of Food Contact Materials, Archives of Toxicology, 94, 485–494.
  3. P.I. Liang, C.C. Wang, H.J. Cheng, S.S. Wang, Y.C. Lin, P. Lin* and C.W. Tung* (2020) Curation of cancer hallmark-based genes and pathways for in silico characterization of chemical carcinogenesis, Database (Oxford), 2020, baaa045.
  4. C.W. Tung*, Y.H. Lin and S.S. Wang (2019) Transfer Learning for Predicting Human Skin Sensitizers, Archives of Toxicology, 93(4), 931-940.
  5. C.W. Tung* and S.S. Wang (2018) ChemDIS 2: an update of chemical-disease inference system, Database (Oxford), 2018, bay077.
  6. C.W. Tung*, C.C. Wang, S.S. Wang and P. Lin* (2018) ChemDIS-Mixture: an online tool for analyzing potential interaction effects of chemical mixtures, Scientific Reports, 8, 10047.
  7. C.W. Tung*, C.C. Wang and S.S. Wang (2018) Mechanism-informed Read-across Assessment of Skin Sensitizers Based on SkinSensDB, Regulatory Toxicology and Pharmacology, 94, 276-282.
  8. C.C. Wang, Y.C. Lin, S.S. Wang, C. Shih, Y.H. Lin and C.W. Tung* (2017) SkinSensDB: a curated database for skin sensitization assays, Journal of Cheminformatics, 9, 5.

Conference Presentations

  1. C.Y. Chou, S.S. Wang, C.C. Wang and C.W. Tung* (2021) Predicting Antimicrobial Resistance of Salmonella Based on Machine Learning and Whole-Genome Sequencing Data, 2021 Teacher and Student Joint Academic Research Symposium, Taipei Medical University, Taipei, Taiwan. May 10-May 14 (Poster). (Poster award: 3rd place)
  2. C.Y. Chou, P. Lin, J. Kim, S.S. Wang, C.C. Wang* and C.W. Tung* (2021) Ensemble learning for predicting ex vivo human placental barrier permeability, The 19th Asia Pacific Bioinformatics Conference (APBC2021), Tainan, Taiwan. Feb 3-5 (Oral).
  3. H.L. Kan, S.S. Wang, C.C. Wang, Y.C. Lin* and C.W. Tung* (2020) Computational assessment of potential neurotoxicity associated with cosmetics preservatives, 2020 Taiwan Academic Network Conference (TANET2020), Taipei, Taiwan. Oct 28-30 (Poster).
  4. C.C. Wang, S.S. Wang and C.W. Tung* (2019) A visualization system for navigating neurotoxic effects of chemicals in ChemDIS: Fipronil as a case study, The 12th International Biocuration Conference, Cambridge, UK. Apr 7-10 (Poster).
  5. C.W. Tung* and S.S. Wang (2018) Leveraging Alternative Assays for Predicting Skin Sensitizers, 2018 International Conference on Computational Chemistry and Toxicology in Environmental Science (2018CCTES), Taichung, Taiwan. May 4-6 (Oral). (Invited Keynote Speaker)
  6. C.W. Tung*, C.C. Wang, Y.C. Lin and S.S. Wang (2016) Developing a curated database for skin sensitizers by incorporating adverse outcome pathways, OpenTox Euro 2016, Rheinfelden, Germany. Oct 26-28 (Oral).