Author

P. R. Jackson

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Cancer Biology· 2 Biophysics· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:imaging· 3 Research Focus:cell type annotation· 2 Approach:statistical model· 2 Approach:benchmark study· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

K. R. Swanson· 3 shared A. Hawkins-Daarud· 2 shared B. R. Bendok· 2 shared K. W. Singleton· 2 shared L. S. Hu· 2 shared M. M. Mrugala· 2 shared S. C. Massey· 2 shared S. K. Johnston· 2 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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3 shared papersCancer Biology

K. R. Swanson

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Author profile →

3 papers

Recent·Most cited

Mapping multiregional imaging-localized biopsies to MRI habitats reveals biologically significant glioma tissue states and associated patterns of cohabitating cellular subpopulations

L. Curtin, K. M. Bond, P. R. Jackson, A. Hawkins-Daarud, S. Velez, N. Shakir, J. C. Urcuyo, G. De Leon, K. W. Singleton, J. M. Langworthy, K. Clark-Swanson, Y. Lassiter-Morris, L. Paulson, C. Sereduk, C. Krishna, , K. R. Swanson

The paper maps MRI-localized glioma biopsies to MRI habitats, identifying transcriptional tissue states and their association with cellular subpopulations and MRI features.

bioRxiv · Mar 23, 2022 · PreprintCancer Biology

Sex Differences in MRI-Based Metrics of Glioma Invasion and Brain Mechanics

B. J. Anderies, S. F. Yee, P. R. Jackson, C. R. Rickertsen, A. J. Hawkins-Daarud, S. K. Johnston, K. R. Clark-Swanson, J. M. Hoxworth, Y. Le, Y. Zhou, K. M. Pepin, S. C. Massey, L. S. Hu, J. R. Huston, K. R. Swanson

This study examines sex differences in MRI and MRE metrics related to glioma invasion and brain mechanics, finding sex-dependent relationships between tumor stiffness and growth parameters.

bioRxiv · Nov 21, 2020 · PreprintBiophysics

Image-based metric of invasiveness predicts response to adjuvant temozolomide for primary glioblastoma

S. C. Massey, H. White, P. Whitmire, T. Doyle, S. K. Johnston, K. W. Singleton, P. R. Jackson, A. Hawkins-Daarud, B. R. Bendok, A. B. Porter, S. Vora, J. N. Sarkaria, M. M. Mrugala, K. R. Swanson

The paper uses image-based metrics to predict TMZ response in GBM patients, finding that less invasive tumors show greater volumetric response and improved survival.

bioRxiv · Jan 2, 2019Cancer Biology