Your English writing platform
Discover LudwigSuggestions(1)
Exact(1)
Their pattern selection approach proved to be useful on small data sets which share a common scaffold.
Similar(59)
The first approach is termed as direct pattern selection and later approach is exhaustive pattern selection.
Further, we propose that our model selection approach to pattern identification can be extended to handle DE and DV discovery tasks in microarray datasets with multiple discrete class labels.
To solve the problem, we initially obtain some feasible working patterns using either a random selection approach.
Empirical studies on graph classification tasks for neurological disorders using brain networks demonstrate that subgraph patterns selected by the multi-side-view-guided subgraph selection approach can effectively boost graph classification performances and are relevant to disease diagnosis.
We used a model selection approach to explain gene expression patterns by environmental and developmental variation.
A new approach is proposed to the problem of pattern selection in discontinuous precipitation.
We also used a model selection approach to assess whether habitat variables influence patterns of such selection.
This approach is based upon an earlier procedure, termed Bayesian Partitioning with Pattern Selection (BPPS) [ 7, 8].
Here we present a novel model selection approach to discover genes with linear or non-linear age-dependent gene expression patterns from microarray data.
The proposed HHPSO SVM feature selection approach is implemented in this framework, which is first used to select informative voxels and then used to select a connectivity pattern.
Write better and faster with AI suggestions while staying true to your unique style.
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