751 citations · 890 across the 19 of their papers we have counts for
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stat.OT2020
Inverse Ising techniques to infer underlying mechanisms from data
Hong-Li Zeng, Erik Aurell
As a problem in data science the inverse Ising (or Potts) problem is to infer the parameters of a Gibbs-Boltzmann distributions of an Ising (or Potts) model from samples drawn from…
q-bio.PE2020
Inferring genetic fitness from genomic data
Hong-Li Zeng, Erik Aurell
The genetic composition of a naturally developing population is considered as due to mutation, selection, genetic drift and recombination. Selection is modeled as single-locus term…