Call for Abstracts

The Abstracts track is a perfect place for bioinformatics researchers and medical informaticians to introduce their preliminary research outcomes to increase research impact and to nurture collaborations. We emphasize research effectiveness on real-world datasets. Submitted abstracts will be peer-reviewed by the program committee to make sure that the content would be of interest to the KDD audience including researchers, practitioners and trainees.

Authors of accepted abstracts will be asked to give a poster presentation as well as a short oral presentation. Quality ones will be selected to attend the SIGKDD 2020 main conference poster presentation, and will be invited for journal paper extension to publish in IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB). We invite the submission of abstracts about research contributions in (but not limited to) the areas listed below:

  • Research that battles COVID-19
  • Bioimage analysis, single-cell analysis
  • Biological network visualization
  • Information visualization and visual analytics for biomedical data
  • Development of deep learning methods for biological and clinical data
  • Novel methods and frameworks for mining and integrating big biological data
  • 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
  • Structural bioinformatics
  • Automated annotation of genes and proteins
  • Discovery of structural variations from next-generation sequencing (NGS) data
  • Correlating NGS with proteomics data analysis
  • Discovery of genotype-phenotype associations
  • Building predictive models for complex phenotypes
  • Functional annotation of genes and proteins
  • Cheminformatics
  • Special biological data management techniques
  • Privacy and security issues in mining genomic databases
  • Predictive modeling for personalized treatment
  • Semantic web and ontology-driven data integration methods
  • Text mining for biomedical literature and clinical notes
  • Information retrieval for healthcare and Biomedical applications
  • Biomedical signal analysis and processing
  • Intelligent medical data management
  • Collaboration technologies for biomedicine
  • Social networks for biomedicine

Submission Guidelines

Abstracts should be at most 1 page 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. An abstract should be submitted in PDF format through EasyChair at the following link: The submissions will be judged for quality and relevance through single-blind reviewing.