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Fig. 6 | BMC Bioinformatics

Fig. 6

From: ILRC: a hybrid biomarker discovery algorithm based on improved L1 regularization and clustering in microarray data

Fig. 6

ILRC feature selection process. After the input data is preprocessed, the clustering operation is performed. After clustering, the features are sorted by T-test, and the seed node is selected. Then the correlation between the remaining nodes and the seed node is evaluated, and redundant features are deleted. Finally, use ILR to assess the remaining features’ weight, repeat the experiment, and output the results according to the order of features

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BMC Bioinformatics

ISSN: 1471-2105

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