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Journal Articles
- 2020
[j4]Xia Jiang, Alan Wells, Adam Brufsky
, Darshan Shetty, Kahmil Shajihan, Richard E. Neapolitan:
Leveraging Bayesian networks and information theory to learn risk factors for breast cancer metastasis. BMC Bioinform. 21(1): 298 (2020)- 2015
- [j3]Qunyuan Zhang, Haley Abel, Alan Wells, Petra Lenzini, Felicia Gomez, Michael A. Province, Alan A. Templeton, George M. Weinstock, Nita H. Salzman, Ingrid B. Borecki:
Selection of models for the analysis of risk-factor trees: leveraging biological knowledge to mine large sets of risk factors with application to microbiome data. Bioinform. 31(10): 1607-1613 (2015) - 2007
- [j2]Sourabh Kharait, Sampsa Hautaniemi, Shan Wu, Akihiro Iwabu, Douglas A. Lauffenburger, Alan Wells:
Decision tree modeling predicts effects of inhibiting contractility signaling on cell motility. BMC Syst. Biol. 1: 9 (2007) - 2005
- [j1]Sampsa Hautaniemi, Sourabh Kharait, Akihiro Iwabu, Alan Wells, Douglas A. Lauffenburger:
Modeling of signal-response cascades using decision tree analysis. Bioinform. 21(9): 2027-2035 (2005)
Informal and Other Publications
- 2024
- [i2]Xia Jiang, Yijun Zhou, Chuhan Xu, Adam Brufsky, Alan Wells:
Deep Learning: a Heuristic Three-stage Mechanism for Grid Searches to Optimize the Future Risk Prediction of Breast Cancer Metastasis Using EHR-based Clinical Data. CoRR abs/2408.07673 (2024) - [i1]Xia Jiang, Yijun Zhou, Alan Wells, Adam Brufsky:
Coalitions of AI-based Methods Predict 15-Year Risks of Breast Cancer Metastasis Using Real-World Clinical Data with AUC up to 0.9. CoRR abs/2408.16256 (2024)
Coauthor Index
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