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Multiomics analysis

Omics correlation for efficient network construction

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Discovering biological patterns from omics data is challenging due to the high dimensionality of biological data. A computational framework is presented to more efficiently calculate correlations among omics features and to build networks by estimating important connections.

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Fig. 1: Omics data is increasingly generated to investigate biological hypotheses.

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Authors and Affiliations

  1. Computational Biology Institute, Department of Biostatistics & Bioinformatics, Milken Institute School of Public Health, The George Washington University, Washington DC, USA

    Ali Rahnavard

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  1. Ali Rahnavard
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Correspondence to Ali Rahnavard.

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The author declares no competing interests.

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Rahnavard, A. Omics correlation for efficient network construction. Nat Comput Sci 3, 285–286 (2023). https://doi.org/10.1038/s43588-023-00436-z

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