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Recursive SVM feature selection and sample classification for mass-spectrometry and microarray data.
We propose a novel method for sample classification from protein mass spectrometry data.
The peak probability contrast method is a potentially useful tool for sample classification from protein mass spectrometry data.
Glaab, E., Bacardit, J., Garibaldi, J. M. & Krasnogor, N. Using rule-based machine learning for candidate disease gene prioritization and sample classification of cancer gene expression data.
The new small sample classification algorithm is worthy of further promotion.
Automatic classification was successful for all but four samples out of 14,400 classification trial configurations, representing 403,200 sample classification attempts (28 attempts per configuration).
Spectral clustering is a graph partitioning method that can be used for sample classification when an affinity matrix of a weighted graph is given.
To circumvent these drawbacks, a fuzzy controller was designed to quantitatively perform sample classification while providing outputs in simpler data charts.
His research interests are data stream mining technology in sensor networks, including feature extraction and selection, small sample classification, and multi-class identification from sensor network data streams.
These results shows that the first discriminant function is the most important in honey sample classification.
Variables with a larger VIP are more relevant for sample classification.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com