2 papers
cs.SI2024
Leveraging advances in machine learning for the robust classification and interpretation of networks
Raima Carol Appaw, Nicholas Fountain-Jones, Michael A. Charleston
The ability to simulate realistic networks based on empirical data is an important task across scientific disciplines, from epidemiology to computer science. Often simulation appro…
q-bio.PE2007
Markov invariants, plethysms, and phylogenetics (the long version)
J. G. Sumner, M. A. Charleston, L. S. Jermiin +1
We explore model based techniques of phylogenetic tree inference exercising Markov invariants. Markov invariants are group invariant polynomials and are distinct from what is known…