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We define two generative models of driver mutations in cancer, the D > P model and the D=P model, and study the algorithmic complexity of the discovery problem in each of the models, both analytically and in simulations.
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These are drops in the bucket compared to the size of the electronic discovery problem and the total sum of the efforts, even done by these groups, seem to be lawyer dominated.
We study a variation on the original formulation of the motif discovery problem, which was introduced by Yoseph et al. [12].
With everyone aware of the app discovery problem, you'd think startups would be flooding into the space.
We consider a precise version of the motif discovery problem in computational biology as discussed in [ 1, 2].
This heterogeneity in the available channel sets across the network increases the complexity of solving the neighbor discovery problem in a cognitive radio network.
SMILE [ 32] is a family of algorithms designed to solve slightly different variants of the structured motif discovery problem on set of input sequences.
What's more, Mind Candy has ambitions of solving the app discovery problem for parents – and developers.
The science behind Jia's approach came out of his fundamental insight that the information discovery problem could not be solved purely on the basis of content.
We applied a "systems biology" approach to the study of panel biomarker discovery problem in breast cancer proteomics data study in this study.
He added, "There are a lot of services trying to solve the information discovery problem, and no one has got it right yet".
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com