BioCompLab

Shan-Shan Wang (王珊珊)

Research Assistant

Graduate Institute of Data Science,
Taipei Medical University, Taiwan
Email:

Scientific Publications


  1. C.C. Wang, Y.C. Liang, S.S. Wang, Pinpin Lin* and C.W. Tung* (2022) A machine learning-driven approach for prioritizing food contact chemicals of carcinogenic concern based on complementary in silico methods, Food and Chemical Toxicology, In Press.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. C.W. Tung* and S.S. Wang (2018) ChemDIS 2: an update of chemical-disease inference system, Database (Oxford), 2018, bay077.
  7. 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.
  8. 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.
  9. 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).