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BIOKDD 2020 : 19th International Workshop on Data Mining in Bioinformatics (with SIGKDD 2020)

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Conference Series : Data Mining in Bioinformatics
 
Link: http://home.biokdd.org/biokdd20/
 
When Aug 24, 2020 - Aug 24, 2020
Where San Diego, CA - USA
Submission Deadline May 20, 2020
Notification Due Jun 15, 2020
Final Version Due Aug 24, 2020
Categories    bioinformatics   data mining   computational biology   medical and health informatics
 

Call For Papers

CFP: 19th International Workshop on Data Mining in Bioinformatics (with SIGKDD'20)
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BIOKDD 2020 in Conjunction with SIGKDD 2020

San Diego, CA - USA
August 24, 2020
http://home.biokdd.org/biokdd20/


INTRODUCTION
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BIOKDD'20 invites KDD researchers to solve problems in Bioinformatics, Medical and Health Informatics. It is a full-day workshop embracing SIGKDD 2020's Health Day. BIOKDD has been successfully held in conjunction with SIGKDD for 18 years, and this year's encouraged theme is Battling COVID-19.

We will have a series of invited talks by world-renowned experts on their recent and on-going COVID-19 research. We will also invite healthcare professionals fighting at the front line of COVID-19 pandemic from countries that succeed at flattening the curve (such as China and South Korea) to share their experience.


COVID-19 RESPONDING
------------------------
Given the uncertainty caused by COVID-19 outbreak, we will work with SIGKDD'20 organizers to investigate feasible options such as a virtual workshop, or a mix of virtual and in-person workshop. We will ensure the quality of digital workshop experience.


PUBLICATION OPTION
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As a tradition of BIOKDD, accepted original submissions will be invited to publish in IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB).


TOPICS OF INTEREST
----------------------
Topics of interest include (but are not limited to):
* 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
* Information visualization and visual analytics for biomedical data
* 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


IMPORTANT DATES
--------------------
Submission Due: May 20, 2020
Notification Date: June 15, 2020
Workshop Date: August 24, 2020


SUBMISSION GUIDELINES
--------------------------
We solicit submission of papers in the following three categories:

* Regular: original papers without duplicate submission. Papers should be at most 10 pages in length, and using ACM Proceedings Format (https://www.acm.org/publications/proceedings-template) is recommended.

* Abstract: 1-page limit, for introducing preliminary research outcomes, with emphasis research effectiveness on real-world datasets.

* Late-Breaking Research: submission of a published manuscript (at least in arXiv) along with additional supplemental/unpublished data, to highlight the work's impact.

All papers will be peer-reviewed. If accepted, at least one author should attend the workshop (with a virtual option) to present their work. The papers should be in PDF format and submitted via EasyChair: https://easychair.org/conferences/?conf=biokdd20200


ORGANIZERS
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Program Co-Chairs:
* Da Yan (University of Alabama at Birmingham)
* Hong Qin (University of Tennessee at Chattanooga)
* Hsiang-Yun Wu (TU Wien)

General Chair
* Jake Chen (University of Alabama at Birmingham)

Steering Committee
* Mohammed J. Zaki (Rensselaer Polytechnic Institute)


CONTACT
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If you have questions regarding the workshop or need further information, please do not hesitate to contact the organizers at yanda@uab.edu

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