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This method extracted a gene list of 10174 genes.
This method extracted a list of 10174 genes, a reduction of 70.3% from the original 34294 genes in the Ensembl database.
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Using maximal cliques, this method extracts a minimal representation of the graph that determines the clique complex.
The method extracts a reduced basis from a collection of high-fidelity solutions via a proper orthogonal decomposition (POD) and employs artificial neural networks (ANNs), particularly multi-layer perceptrons (MLPs), to accurately approximate the coefficients of the reduced model.
Notice that both methods extract a final feature vector of five components.
Consequently, when a small number of electrodes is used, the methods extract a linear combination of sources belonging to the same subspace instead of estimating the sources themselves.
These methods extract a set of features from the query and the speech repository, and a search of these features produces the query detections.
Minimum correlation based methods extract a set key-frames such that the inter-key-frame correlation is minimal, i.e. it extracts the key-frames that are more dissimilar from each other.
Most of these methods extract a single summary index from the distribution of nodes, so it's not too surprising that the majority of such measures of tree shape are sensitive to the level, or depth in the phylogeny at which imbalance is concentrated [3], [71] and to the presence of polytomies [36].
Consequently, window-sliding methods extract a large number of local image samples.
When tested on unseen articles, the method extracted the eligibility criteria with a precision of 0.69 and a recall of 0.54.
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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