We developed Significant Latent Factor Interaction Discovery and Exploration (SLIDE), an interpretable machine learning approach that can infer hidden states (latent factors) underlying biological outcomes. These states capture the complex interplay between factors derived from multiscale, multiomic datasets across biological contexts and scales of resolution.
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References
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This is a summary of: Rahimikollu, J. et al. SLIDE: Significant Latent Factor Interaction Discovery and Exploration across biological domains. Nat. Methods https://doi.org/10.1038/s41592-024-02175-z (2024).
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Uncovering hidden states driving biological outcomes using machine learning. Nat Methods (2024). https://doi.org/10.1038/s41592-024-02176-y
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DOI: https://doi.org/10.1038/s41592-024-02176-y
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