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Fig. 1 | BMC Bioinformatics

Fig. 1

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

Fig. 1

Proposed method framework. This method first clusters the features, and filters the features that are highly correlated with the node with the highest weight in each sub-cluster, and then uses the improved L1 regularization method to evaluate the weight of each feature for multiple iterations. Finally, the output feature subsets are sorted according to feature weights

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BMC Bioinformatics

ISSN: 1471-2105

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