The early days of the field of medical image computing (MIC) and computer-assisted intervention (CAI), when publishing a strong self-contained methodological algorithm was enough to produce impact, are over.
We have used recent methodological improvements in fast phylogeny algorithms to construct a genome-wide library of local mutational phylogenies in the human genome.
As a second methodological contribution, we have proposed efficient algorithms to compute lower and upper bounds for AIOs over the family of flux distributions which are compatible with both the system's stoichiometry and the experimental datasets, regardless of the choice of a flux distribution for the internal branches of the network.
The chimpanzee beacons were calculated using the exact same methodological algorithm as the human, but instead changing the focused species to Pan troglodytes.
Recently, Quan et al. published ICD-10 coding algorithms to define both Charlson and Elixhauser comorbidities [ 9], and the methodological process outlined in that work demonstrates the complexity of the ICD-9 to ICD-10 translation process.
We introduce new morphological data for phyllostomids and outgroups and expand previous molecular analyses to eliminate methodological sources of phylogenetic conflict such as taxonomic sampling, sparse character sampling, or use of different algorithms to estimate the phylogeny.
They preferred algorithms to geometry.
Methodological sources of incongruence play some role in generating phylogenetic conflict, and are relatively easy to eliminate by matching taxa, collecting more characters, and applying the same algorithms to optimize phylogeny.
Facebook used an algorithm to filter content.
We choose the Event-B modeling language for expressing state-based models and we show how we can play Event-B scores using Rodin and methodological elements to guarantee that the resulting algorithm is correct with respect to initial requirements.
