Publications by authors named "E R Kashdan"

Metastatic progression and tumor evolution complicates the clinical management of cancer patients. Circulating tumor cell (CTC) characterization is a growing discipline that aims to elucidate tumor metastasis and evolution processes. CTCs offer the clinical potential to monitor cancer patients for therapy response, disease relapse, and screen 'at risk' groups for the onset of malignancy.

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  • cSTAR is a new method for analyzing and influencing cell state transitions, helping researchers understand how cells change from one type to another.
  • It utilizes omics data to create detailed models that depict cell behavior and guides interventions for controlling cell fate decisions.
  • Successful application of cSTAR has shown strong correlations with experimental outcomes and offers insights into cellular development, making it a promising tool for future therapies.
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  • The rise in Human Papilloma Virus (HPV) related oropharyngeal squamous cell carcinomas (OPSCCs) is becoming a major public health issue globally, with vaccination programs expected to reduce incidence rates only in the long term.
  • Current understanding of oral HPV infections and the natural history of OPSCCs is limited, making secondary prevention strategies difficult to implement; effective modeling is essential for progress in cancer prevention.
  • A "double-Bayesian" modeling approach has been developed using U.S. cancer registry data to estimate the likelihood of oral HPV infections leading to OPSCC, revealing higher risks in non-Hispanic White individuals compared to other races and ethnicities.
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Modular Response Analysis (MRA) is a suite of methods that under certain assumptions permits the precise reconstruction of both the directions and strengths of connections between network modules from network responses to perturbations. Standard MRA assumes that modules are insulated, thereby neglecting the existence of inter-modular protein complexes. Such complexes sequester proteins from different modules and propagate perturbations to the protein abundance of a downstream module retroactively to an upstream module.

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Purpose: We provide methods for determining the repeatability of airborne electromagnetic surveys when conducted at different altitudes over a number of repeated flights. Our data arise from the TELLUS project carried out by the Geological Surveys of Ireland and Northern Ireland and we examine the repeatability of the apparent resistivity at different frequencies.

Methods: After considering a number of issues with the data, we propose two different models from the functional data analysis literature; a Weiner process with random effects, and a penalised spline smoother.

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