Machine Learning and Integrative Analysis of Biomedical Big Data, MDPI
Genes, 2019, 10, 87
"Specifically, we discuss state-of-the-art ML approaches that can address five important challenges in multi-omics integrative analysis: the curse of dimensionality, data heterogeneity, missing data, class imbalance, and scalability issues."
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