We invite the submission of original research contributions in (but not limited to) the two broad areas (and their subareas) listed below. Quality papers accepted will be invited to publish in IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB).
Area 1: Knowledge Discovery from Clinical Data
- Extracting risk factors/symptoms of diseases form EHRs (electronic health records)
- Generating lexicons/vocabularies of diseases of interest
- Longitudinal analysis of temporal data in EHRs
- EHR content summarization
- Topic modeling of clinical text data
- Pharmacogenomics and adverse events mining from EHR data
- Multi-view learning of heterogeneous EHR data
- Decision support tools for big EHR data
- Visualization techniques to facilitate query and analysis of clinical data
- Mining medical images
- Privacy and security issues in mining genomic databases and EHR
Area 2: Knowledge Discovery from Biological Data
- Structural bioinformatics
- Discovering biological networks and pathways underlying biological processes and diseases
- Analysis, discovery of biomarkers and mutations, and disease risk assessment
- Comparative genomics
- Metagenome analysis using sequencing data
- RNA-seq and microarray-based gene expression analysis
- Genome-wide analysis of non-coding RNAs
- Genome-wide regulatory motif discovery
- Automated annotation of genes and proteins
- Discovery of structural variations from next-generation sequencing (NGS) data
- Discovery of genotype-phenotype associations
- Building predictive models for complex phenotypes
- Semantic web and ontology-driven data integration methods
Submission Guidelines
Papers should be at most 10 pages in length, single-spaced, in font size 10 or larger with one-inch margins on all sides. Using the ACM Proceedings Format is highly recommended. A paper should be submitted in PDF format through EasyChair at the following link: https://easychair.org/conferences/?conf=biokdd2018.