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Network inference from multimodal data: A review of approaches from infectious disease transmission
2016
Journal of Biomedical Informatics
Networks inference problems are commonly found in multiple biomedical subfields such as genomics, metagenomics, neuroscience, and epidemiology. Networks are useful for representing a wide range of complex interactions ranging from those between molecular biomarkers, neurons, and microbial communities, to those found in human or animal populations. Recent technological advances have resulted in an increasing amount of healthcare data in multiple modalities, increasing the preponderance of
doi:10.1016/j.jbi.2016.09.004
pmid:27612975
pmcid:PMC7106161
fatcat:tpsn75h7lnf3td6xplygemx3ca