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Jake P Taylor-King

Showing results (1-10 of 17) with videos related to

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Trends in Genetics : TIG|October 27, 2021
Rethinking rare disease: longevity-enhancing drug targets through X-linked aneuploidyJake P Taylor-King
Clinical Pharmacology and Therapeutics|January 3, 2024
The Future of Machine Learning Within Target Identification: Causality, Reversibility, and DruggabilityJake P Taylor-King, Michael Bronstein, David Roblin
Physical Review. E|August 31, 2016
Hard-sphere interactions in velocity-jump modelsBenjamin Franz, Jake P Taylor-King, Christian Yates, et al.
Plos Computational Biology|January 11, 2020
Dynamic distribution decomposition for single-cell snapshot time series identifies subpopulations and trajectories during iPSC reprogrammingJake P Taylor-King, Asbjørn N Riseth, Will Macnair, et al.
Physical Review. E|January 20, 2018
Mean-field approach to evolving spatial networks, with an application to osteocyte network formationJake P Taylor-King, David Basanta, S Jonathan Chapman, et al.
Physical Review. E|August 31, 2016
Fractional diffusion equation for an n-dimensional correlated Lévy walkJake P Taylor-King, Rainer Klages, Sergei Fedotov, et al.
Bulletin of Mathematical Biology|June 11, 2015
From Birds to Bacteria: Generalised Velocity Jump Processes with Resting StatesJake P Taylor-King, E Emiel van Loon, Gabriel Rosser, et al.
Frontiers in Bioengineering and Biotechnology|August 15, 2020
Modeling Osteocyte Network Formation: Healthy and Cancerous EnvironmentsJake P Taylor-King, Pascal R Buenzli, S Jon Chapman, et al.
Mathematical Medicine and Biology : a Journal of the IMA|February 17, 2018
Simulated ablation for detection of cells impacting paracrine signalling in histology analysisJake P Taylor-King, Etienne Baratchart, Andrew Dhawan, et al.
Nature Methods|January 26, 2024
scPerturb: harmonized single-cell perturbation dataStefan Peidli, Tessa D Green, Ciyue Shen, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
Trends in Genetics : TIG|October 27, 2021
Rethinking rare disease: longevity-enhancing drug targets through X-linked aneuploidyJake P Taylor-King
Clinical Pharmacology and Therapeutics|January 3, 2024
The Future of Machine Learning Within Target Identification: Causality, Reversibility, and DruggabilityJake P Taylor-King, Michael Bronstein, David Roblin
Physical Review. E|August 31, 2016
Hard-sphere interactions in velocity-jump modelsBenjamin Franz, Jake P Taylor-King, Christian Yates, et al.
Plos Computational Biology|January 11, 2020
Dynamic distribution decomposition for single-cell snapshot time series identifies subpopulations and trajectories during iPSC reprogrammingJake P Taylor-King, Asbjørn N Riseth, Will Macnair, et al.
Physical Review. E|January 20, 2018
Mean-field approach to evolving spatial networks, with an application to osteocyte network formationJake P Taylor-King, David Basanta, S Jonathan Chapman, et al.
Physical Review. E|August 31, 2016
Fractional diffusion equation for an n-dimensional correlated Lévy walkJake P Taylor-King, Rainer Klages, Sergei Fedotov, et al.
Bulletin of Mathematical Biology|June 11, 2015
From Birds to Bacteria: Generalised Velocity Jump Processes with Resting StatesJake P Taylor-King, E Emiel van Loon, Gabriel Rosser, et al.
Frontiers in Bioengineering and Biotechnology|August 15, 2020
Modeling Osteocyte Network Formation: Healthy and Cancerous EnvironmentsJake P Taylor-King, Pascal R Buenzli, S Jon Chapman, et al.
Mathematical Medicine and Biology : a Journal of the IMA|February 17, 2018
Simulated ablation for detection of cells impacting paracrine signalling in histology analysisJake P Taylor-King, Etienne Baratchart, Andrew Dhawan, et al.
Nature Methods|January 26, 2024
scPerturb: harmonized single-cell perturbation dataStefan Peidli, Tessa D Green, Ciyue Shen, et al.
Pageof 2