Browsing Mathematics & Statistics Department by Subject "Machine learning"
Now showing items 1-3 of 3
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Analyzing collective motion with machine learning and topology
(American Institute of Physics, 2019-12-18)We use topological data analysis and machine learning to study a seminal model of collective motion in biology [M. R. D’Orsogna et al., Phys. Rev. Lett. 96, 104302 (2006)]. This model describes agents interacting nonlinearly ... -
Estimating gene function with least squares nonnegative matrix factorization
(Humana Press, 2007) -
A tutorial review of mathematical techniques for quantifying tumor heterogeneity
(AIMS Press, 2020)Intra-tumor and inter-patient heterogeneity are two challenges in developing mathematical models for precision medicine diagnostics. Here we review several techniques that can be used to aid the mathematical modeller in ...
