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Biorxiv : the Preprint Server for Biology
|
April 1, 2025
Lineage Tracing Reveals Clone-Specific Responses to Doxorubicin in Triple-Negative Breast Cancer
Daylin Morgan, Andrea L Gardner, Amy Brock
Biorxiv : the Preprint Server for Biology
|
June 10, 2024
Computational identification of surface markers for isolating distinct subpopulations from heterogeneous cancer cell populations
Andrea L Gardner, Tyler A Jost, Amy Brock
NPJ Systems Biology and Applications
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October 17, 2024
Computational identification of surface markers for isolating distinct subpopulations from heterogeneous cancer cell populations
Andrea L Gardner, Tyler A Jost, Daylin Morgan, et al.
Npj Biomedical Innovations
|
April 24, 2026
Deep learning identifies heterogeneous subpopulations in breast cancer cell lines
Tyler A Jost, Andrea L Gardner, Daylin Morgan, et al.
Biorxiv : the Preprint Server for Biology
|
July 15, 2024
Deep learning identifies heterogeneous subpopulations in breast cancer cell lines
Tyler A Jost, Andrea L Gardner, Daylin Morgan, et al.
Scientific Reports
|
February 22, 2023
Mathematical modelling of the dynamics of image-informed tumor habitats in a murine model of glioma
Kalina P Slavkova, Sahil H Patel, Zachary Cacini, et al.
Scientific Reports
|
May 22, 2023
Author Correction: Mathematical modelling of the dynamics of image-informed tumor habitats in a murine model of glioma
Kalina P Slavkova, Sahil H Patel, Zachary Cacini, et al.
Tissue Engineering. Part C, Methods
|
May 7, 2026
Clonal Lineage Tracing Reveals Distinct Invasive Subpopulations in Triple-Negative Breast Cancer
Carolina De Santiago, Andrea L Gardner, Patrik Parker, et al.
Biorxiv : the Preprint Server for Biology
|
February 3, 2025
Mapping cell-cell fusion at single-cell resolution
Andrea L Gardner, Lan Zheng, Kennedy Howland, et al.
Physical Biology
|
November 20, 2020
Integrating transcriptomics and bulk time course data into a mathematical framework to describe and predict therapeutic resistance in cancer
Kaitlyn E Johnson, Grant R Howard, Daylin Morgan, et al.
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Search research articles
Search
Showing results (1-10 of 10) with videos related to
Sort By:
Page
of 1
Biorxiv : the Preprint Server for Biology
|
April 1, 2025
Lineage Tracing Reveals Clone-Specific Responses to Doxorubicin in Triple-Negative Breast Cancer
Daylin Morgan, Andrea L Gardner, Amy Brock
Biorxiv : the Preprint Server for Biology
|
June 10, 2024
Computational identification of surface markers for isolating distinct subpopulations from heterogeneous cancer cell populations
Andrea L Gardner, Tyler A Jost, Amy Brock
NPJ Systems Biology and Applications
|
October 17, 2024
Computational identification of surface markers for isolating distinct subpopulations from heterogeneous cancer cell populations
Andrea L Gardner, Tyler A Jost, Daylin Morgan, et al.
Npj Biomedical Innovations
|
April 24, 2026
Deep learning identifies heterogeneous subpopulations in breast cancer cell lines
Tyler A Jost, Andrea L Gardner, Daylin Morgan, et al.
Biorxiv : the Preprint Server for Biology
|
July 15, 2024
Deep learning identifies heterogeneous subpopulations in breast cancer cell lines
Tyler A Jost, Andrea L Gardner, Daylin Morgan, et al.
Scientific Reports
|
February 22, 2023
Mathematical modelling of the dynamics of image-informed tumor habitats in a murine model of glioma
Kalina P Slavkova, Sahil H Patel, Zachary Cacini, et al.
Scientific Reports
|
May 22, 2023
Author Correction: Mathematical modelling of the dynamics of image-informed tumor habitats in a murine model of glioma
Kalina P Slavkova, Sahil H Patel, Zachary Cacini, et al.
Tissue Engineering. Part C, Methods
|
May 7, 2026
Clonal Lineage Tracing Reveals Distinct Invasive Subpopulations in Triple-Negative Breast Cancer
Carolina De Santiago, Andrea L Gardner, Patrik Parker, et al.
Biorxiv : the Preprint Server for Biology
|
February 3, 2025
Mapping cell-cell fusion at single-cell resolution
Andrea L Gardner, Lan Zheng, Kennedy Howland, et al.
Physical Biology
|
November 20, 2020
Integrating transcriptomics and bulk time course data into a mathematical framework to describe and predict therapeutic resistance in cancer
Kaitlyn E Johnson, Grant R Howard, Daylin Morgan, et al.
Page
of 1