posted by organizer: yanda || 4397 views || tracked by 6 users: [display]

BIOKDD 2021 : 20th International Workshop on Data Mining in Bioinformatics (with SIGKDD'21)

FacebookTwitterLinkedInGoogle


Conference Series : Data Mining in Bioinformatics
 
Link: http://biokdd.org/biokdd21/
 
When Aug 14, 2021 - Aug 18, 2021
Where Virtual
Submission Deadline May 20, 2020
Notification Due Jun 10, 2021
Categories    bioinformatics   data mining   computational biology   medical and health informatics
 

Call For Papers

CFP: 20th International Workshop on Data Mining in Bioinformatics (with SIGKDD'21)
----------------------------------------------------------------------------------
BIOKDD 2021 in Conjunction with SIGKDD 2021

August 14-18, 2021
http://biokdd.org/biokdd21/


INTRODUCTION
------------
BIOKDD'21 invites KDD researchers to solve problems in Bioinformatics, Medical and Health Informatics. BIOKDD has been successfully held in conjunction with SIGKDD for 19 years, and this year's encouraged theme is "Artificial Intelligence in Medicine". This field focuses on the use of machine learning and data mining techniques for the analysis of large amounts of heterogeneous complex biological and medical data, with a particular focus on deep learning methods that see fast advancement and wider adoption in Bioinformatics (e.g., DeepVariant, AlphaFold 2).

Since this year is BIOKDD's 20th anniversary, we will have a series of invited talks by world-renowned experts on their recent and on-going Biomedical research. Due to the COVID-19 pandemic, SIGKDD'21 decides to be held virtually, so BIOKDD'21 will be a virtual workshop. We will ensure the quality of digital workshop experience.


PUBLICATION OPTION
------------------
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):
* 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
* Bioimage analysis, single-cell analysis
* Biological network visualization
* Information visualization and visual analytics for biomedical data
* Research that battles COVID-19

IMPORTANT DATES
---------------
Submission Due: May 20, 2021
Notification Date: June 10, 2021
Workshop Date: August 14-18, 2021

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

* Regular Track: 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 Track: 1-page limit, for introducing preliminary research outcomes, with emphasis on 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 thenwork'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=biokdd20210


ORGANIZERS
----------
Program Co-Chairs:
* Da Yan (University of Alabama at Birmingham)
* Steve Qin (Emory University)
* Debswapna Bhattacharya (Auburn University)

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

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


CONTACT
-------
Please email all questions about submissions to yanda@uab.edu

Related Resources

ICDM 2024   IEEE International Conference on Data Mining
ECAI 2024   27th European Conference on Artificial Intelligence
BIOKDD 2024   Data Mining in Bioinformatics
ACM-Ei/Scopus-CCISS 2024   2024 International Conference on Computing, Information Science and System (CCISS 2024)
AIKE 2024   7th IEEE International Conference on Artificial Intelligence and Knowledge Engineering
AIM@EPIA 2024   Artificial Intelligence in Medicine
BDCAT 2024   IEEE/ACM Int’l Conf. on Big Data Computing, Applications, and Technologies
CVIV 2024   2024 6th International Conference on Advances in Computer Vision, Image and Virtualization (CVIV 2024) -EI Compendex
DSIT 2024   7th International Conference on Data Science and Information Technology
CoMSE 2024   2024 3rd Conference on Materials Science and Engineering (CoMSE 2024)