Andrea Gardner - Publications
Affiliations: | 2024 | Biomedical Engineering | University of Texas at Austin, Austin, Texas, U.S.A. |
Year | Citation | Score | |||
---|---|---|---|---|---|
2024 | Jost TA, Gardner AL, Morgan D, Brock A. Deep learning identifies heterogeneous subpopulations in breast cancer cell lines. Biorxiv : the Preprint Server For Biology. PMID 39005432 DOI: 10.1101/2024.07.02.601576 | 0.736 | |||
2024 | Gardner AL, Jost TA, Brock A. Computational identification of surface markers for isolating distinct subpopulations from heterogeneous cancer cell populations. Biorxiv : the Preprint Server For Biology. PMID 38854060 DOI: 10.1101/2024.05.28.596337 | 0.747 | |||
2022 | Cotner M, Meng S, Jost T, Gardner A, De Santiago C, Brock A. Integration of Quantitative Methods and Mathematical Approaches for the Modeling of Cancer Cell Proliferation Dynamics. American Journal of Physiology. Cell Physiology. PMID 36503241 DOI: 10.1152/ajpcell.00185.2022 | 0.748 | |||
2022 | Gardner A, Morgan D, Al'Khafaji A, Brock A. Functionalized Lineage Tracing for the Study and Manipulation of Heterogeneous Cell Populations. Methods in Molecular Biology (Clifton, N.J.). 2394: 109-131. PMID 35094325 DOI: 10.1007/978-1-0716-1811-0_8 | 0.731 | |||
2020 | Kazerouni AS, Gadde M, Gardner A, Hormuth DA, Jarrett AM, Johnson KE, Lima EABF, Lorenzo G, Phillips C, Brock A, Yankeelov TE. Integrating Quantitative Assays with Biologically Based Mathematical Modeling for Predictive Oncology. Iscience. 23: 101807. PMID 33299976 DOI: 10.1016/j.isci.2020.101807 | 0.76 | |||
2020 | Johnson KE, Howard GR, Morgan D, Brenner EA, Gardner AL, Durrett RE, Mo W, Al'Khafaji A, Sontag ED, Jarrett AM, Yankeelov TE, Brock A. Integrating transcriptomics and bulk time course data into a mathematical framework to describe and predict therapeutic resistance in cancer. Physical Biology. 18: 016001. PMID 33215611 DOI: 10.1088/1478-3975/Abb09C | 0.609 | |||
Show low-probability matches. |