Issue No. 03 - May-June (2017 vol. 14)
Fei Wang , Department of Healthcare Policy and Research, Division of Health Informatics, Weill Cornell Medical College, Cornell University, Ithaca, NY
Xiao-Li Li , Institute for Infocomm Research, Singapore
Jason T. L. Wang , Department of Computer Science, New Jersey Institute of Technology, Newark, NJ
See-Kiong Ng , Institute of Data Science, National University of Singapore, Singapore
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, DNA microarrays, protein interactions, biomedical images, disease pathways, etc. The rapid adoption of Electronic Health Records (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, data mining techniques, for knowledge discovery and deriving data driven insights from various data sources, are increasingly important in modern biology and healthcare. The purpose of this special section is to bring together the researchers in bioinformatics, healthcare informatics, and data mining to share about their current research, and their visions on future directions.
Biological data mining, bioinformatics, healthcare
F. Wang, X. Li, J. T. Wang and S. Ng, "Guest Editorial: Special Section on Biological Data Mining and Its Applications in Healthcare," in IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 14, no. 3, pp. 501-502, 2017.