Jake P. Taylor‐King
Publications by Year
Research Areas
Single-cell and spatial transcriptomics, Gene Regulatory Network Analysis, Computational Drug Discovery Methods, Model Reduction and Neural Networks, Mathematical Biology Tumor Growth
Most-Cited Works
- → Utilizing graph machine learning within drug discovery and development(2021)267 cited
- → scPerturb: harmonized single-cell perturbation data(2024)133 cited
- → In vivo screening characterizes chromatin factor functions during normal and malignant hematopoiesis(2023)53 cited
- → Mathematical modelling of turning delays in swarm robotics(2015)21 cited
- → From Birds to Bacteria: Generalised Velocity Jump Processes with Resting States(2015)20 cited
- → Fractional diffusion equation for ann-dimensional correlated Lévy walk(2016)19 cited
- → RECOVER identifies synergistic drug combinations in vitro through sequential model optimization(2023)17 cited
- → Mean-field approach to evolving spatial networks, with an application to osteocyte network formation(2017)16 cited
- → Toxicity Management in CAR T cell therapy for B-ALL: Mathematical modelling as a new avenue for improvement(2016)15 cited