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  1. 1.   Data imbalance in drug response prediction: multi-objective optimization approach in deep learning setting
  2. Narykov, Oleksandr; Zhu, Yitan; Brettin, Thomas; Evrard,Yvonne; Partin, Alexander; Xia, Fangfang; Shukla, Maulik; Vasanthakumari, Priyanka; Doroshow, James H; Stevens, Rick L
  3. Briefings in Bioinformatics. 2025, Mar 04; 26(2):
  1. 2.   A Comprehensive Investigation of Active Learning Strategies for Conducting Anti-Cancer Drug Screening
  2. Vasanthakumari, Priyanka; Zhu, Yitan; Brettin, Thomas; Partin, Alexander; Shukla, Maulik; Xia, Fangfang; Narykov, Oleksandr; Weil,Michael; Stevens, Rick L
  3. Cancers. 2024, Jan 26; 16(3):
  1. 3.   Integration of Computational Docking into Anti-Cancer Drug Response Prediction Models
  2. Narykov, Oleksandr; Zhu, Yitan; Brettin, Thomas; Evrard,Yvonne; Partin, Alexander; Shukla, Maulik; Xia, Fangfang; Clyde, Austin; Vasanthakumari, Priyanka; Doroshow, James H; Stevens, Rick L
  3. Cancers. 2023, Dec 21; 16(1):
  1. 4.   A cross-study analysis of drug response prediction in cancer cell lines
  2. Xia, Fangfang; Allen, Jonathan; Balaprakash, Prasanna; Brettin, Thomas; Garcia-Cardona, Cristina; Clyde, Austin; Cohn, Judith; Doroshow,Jim; Duan, Xiaotian; Dubinkina, Veronika; Evrard,Yvonne; Fan, Ya Ju; Gans, Jason; He, Stewart; Lu,Pinyi; Maslov, Sergei; Partin, Alexander; Shukla, Maulik; Stahlberg,Eric; Wozniak, Justin M; Yoo, Hyunseung; Zaki,George; Zhu, Yitan; Stevens, Rick
  3. Briefings in Bioinformatics. 2021, Sep 14;
  1. 5.   Learning curves for drug response prediction in cancer cell lines
  2. Partin, Alexander; Brettin, Thomas; Evrard,Yvonne; Zhu, Yitan; Yoo, Hyunseung; Xia, Fangfang; Jiang, Songhao; Clyde, Austin; Shukla, Maulik; Fonstein, Michael; Doroshow, James H.; Stevens, Rick L.
  3. BMC bioinformatics. 2021, May 17; 22(1):
  1. 6.   Molecular Genomic Features Associated with in Vitro Response of the NCI-60 Cancer Cell Line Panel to Natural Products
  2. Krushkal, Julia; Negi, Simarjeet; Yee, Laura M; Evans,Jason; Grkovic,Tanja; Palmisano, Alida; Fang, Jianwen; Sankaran, Hari; McShane, Lisa M; Zhao, Yingdong; O'Keefe,Barry
  3. Molecular oncology. 2020, NOV 24;
  1. 7.   Enhanced Co-Expression Extrapolation (COXEN) Gene Selection Method for Building Anti-Cancer Drug Response Prediction Models
  2. Zhu, Yitan; Brettin, Thomas; Evrard,Yvonne; Xia, Fangfang; Partin, Alexander; Shukla, Maulik; Yoo, Hyunseung; Doroshow, James H; Stevens, Rick L
  3. Genes. 2020, Sep 11; 11(9): pii: E1070.
  1. 8.   Cell-Free DNA Next-Generation Sequencing Prediction of Response and Resistance to Third-Generation EGFR Inhibitor
  2. Helman, Elena; Nguyen, Minh; Karlovich, Chris; Despain, Darrin; Choquette, A Karin; Spira, Alexander I; Yu, Helena A; Camidge, D Ross; Harding, Thomas C; Lanman, Richard B; Simmons, Andrew D
  3. Clinical lung cancer. 2018, Nov; 19(6): 518-530.e7.
  1. 9.   Data augmentation and multimodal learning for predicting drug response in patient-derived xenografts from gene expressions and histology images
  2. Partin, Alexander; Brettin, Thomas; Zhu, Yitan; Dolezal, James M; Kochanny, Sara; Pearson, Alexander T; Shukla, Maulik; Evrard,Yvonne; Doroshow, James H; Stevens, Rick L
  3. Frontiers in Medicine. 2023 10: 1058919.
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