Min-redundancy and max-relevance multi-view feature selection for predicting ovarian cancer survival using multi-omics data
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Title
Min-redundancy and max-relevance multi-view feature selection for predicting ovarian cancer survival using multi-omics data
Authors
Keywords
Multi-omics data integration, Multi-view feature selection, Cancer survival prediction, Machine learning
Journal
BMC Medical Genomics
Volume 11, Issue S3, Pages -
Publisher
Springer Nature America, Inc
Online
2018-09-14
DOI
10.1186/s12920-018-0388-0
References
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