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

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....

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Bibliographic Details
Published inIEEE/ACM transactions on computational biology and bioinformatics Vol. 14; no. 3; pp. 501 - 502
Main Authors Wang, Fei, Li, Xiao-Li, Wang, Jason T. L., Ng, See-Kiong
Format Journal Article
LanguageEnglish
Published New York IEEE 01.05.2017
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Bioinformatics
Biological activity
Biological data mining
Biological effects
Biological processes
Biologists
Biomedical imaging
Data mining
Data processing
Deoxyribonucleic acid
DNA
DNA microarrays
Electronic health records
Electronic medical records
Gene sequencing
Health care
healthcare
Informatics
Medical services
Nucleotide sequence
Precision medicine
Protein arrays
Protein interaction
Special issues and sections
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Summary: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.
ISSN:1545-5963
1557-9964
DOI:10.1109/TCBB.2016.2612558