The exponential and continuous growth of big biomedical data stimulated the need to developing advanced and sophisticated big data analytics. In response to this need, this special issue was started. Researchers with different focuses were invited to participate in this issue including those working on problems concerning data clustering, classification, visualization, information retrieval and data integration. The call for papers encouraged researchers to mine different types of Big Data including genomic, proteomic phenotypic, molecular (including -omics), physiological, anatomical, clinical, behavioral, environmental, social media, and many other types of biological and biomedical data.
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