Volume 15 Supplement 6
Knowledge Discovery and Interactive Data Mining in Bioinformatics
Edited by Andreas Holzinger, Matthias Dehmer and Igor Jurisica
Publication of this supplement has not been supported by sponsorship. Information about the source of funding for publication charges can be found in the individual articles. Articles have undergone the journal's standard peer review process for supplements. The Supplement Editors declare that they have no competing interests.
One of the grand challenges in our networked world are the large, complex, and often weakly structured data sets along with the massive amounts of unstructered information. This "big data" challenge (V4 Challenge: Volume, Variety, Velocity, Veracity) is most evident in the biomedical domain: the trend towards personalized medicine (P4 Medicine: Predictive, Preventative, Participatory, Personalized) has resulted in an explosion in the amount of generated biomedical data sets- in particular Omics data (e.g. from genomics, proteomics, metabolomics, lipidomics, transcriptomics, epigenetics, microbiomics, fluxomics, phenomics, etc.). This supplement is a special collection of 7 peer reviewed articles carefully selected to provide an overview of this novel, emerging and important new area.