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To check if ERα36 mRNA expression level could be a relevant classifier of a particular breast tumor phenotype, we drew a gene network for each ERα36 expression value.
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This study identifies ERalpha36 expression level as a relevant classifier which should be taken into account for breast tumors clinical characterization and [ER+] tumor treatment orientation, using a generic approach for the rapid, cheap and relevant evaluation of any candidate gene expression as a predictor of a complex biological process.
Here's a relevant talk:.
(Here's a relevant paper).
The classifier sieve is a built-in classifier based on chaos games representation.
The original SVM classifier was a linear classifier.
MSI is a major molecular classifier in colorectal cancer [38] [40].
A perceptron is a simple pattern classifier.
Random Forest [35] is an ensemble classifier.
RF classifier 19 is an ensemble classifier that constructs multiple decision trees with randomly selected features.
For each data set, we asked our experts to manually rescreen "false-positive" citations (i.e., citations not included in the final database but predicted to be relevant by the classifier based only on titles and abstracts and not on the full text).
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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