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Guest Editorial: Special Section on Biological Data Mining and Its Applications in Healthcare
Journal article   Peer reviewed

Guest Editorial: Special Section on Biological Data Mining and Its Applications in Healthcare

Fei Wang, Xiao-Li Li, Jason T. L. Wang and See-Kiong Ng
IEEE/ACM transactions on computational biology and bioinformatics, Vol.14(3), pp.501-502
01/05/2017

Abstract

Biochemical Research Methods Biochemistry & Molecular Biology Computer Science Computer Science, Interdisciplinary Applications Life Sciences & Biomedicine Mathematics Mathematics, Interdisciplinary Applications Physical Sciences Science & Technology Statistics & Probability Technology
Biologists are stepping up their efforts in understanding the biological processes that underlie disease pathways in the clinical contexts. This has resulted in a flood of biological and clinical data-genomic sequences, DNAmicroarrays, protein interactions, biomedical images, disease pathways, etc. The rapid adoption of Electronic HealthRecords (EHRs) across healthcare systems, coupled with the capability of linking EHRs to research biorepositories, provides a unique opportunity for conducting large-scale Precision Medicine research. As a result, datamining techniques, for knowledge discovery and deriving data driven insights fromvarious data sources, are increasingly important inmodern biology and healthcare. The purpose of this special section is to bring together the researchers in bioinformatics, healthcare informatics, and datamining to share about their current research, and their visions on future directions.

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