posted by organizer: yd198707 || 3047 views || tracked by 4 users: [display]

BIOKDD 2023 : 22nd International Workshop on Data Mining in Bioinformatics

FacebookTwitterLinkedInGoogle


Conference Series : Data Mining in Bioinformatics
 
Link: https://biokdd.org/biokdd23/
 
When Aug 9, 2023 - Aug 9, 2023
Where Long Beach, CA
Submission Deadline May 23, 2023
Notification Due Jun 23, 2023
Categories    bioinformatics   data mining   genomics   health informatics
 

Call For Papers

CFP: 22nd International Workshop on Data Mining in Bioinformatics (with SIGKDD'23)
----------------------------------------------------------------------------------
BIOKDD 2023 in Conjunction with SIGKDD 2023

August 9, 2023
http://biokdd.org/biokdd23/


INTRODUCTION
------------
The goal of the 22nd International Workshop on Data Mining in Bioinformatics (BIOKDD 2023) is to encourage KDD researchers to solve the numerous problems and challenges in Bioinformatics using Data Mining technologies. Based on the organizers’ expertise and communities for this year’s BIOKDD workshop, we will feature the theme “Large-Scale Data-Driven Methods for Bioinformatics”. This theme encourages the use of high-performance computing (HPC) to support the training of large machine learning models for problems in Bioinformatics and Computational Biology. We also welcome broader research applying data mining to address biomedical problems. The key goal is to accelerate the convergence between Data Mining and Bioinformatics communities to expedite discoveries in basic biology, medicine and healthcare.


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
* Predictive modeling for personalized treatment
* 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
* Semantic web, biomedical ontologies and ontology-driven data integration methods
* Biological network visualization
* Information visualization and visual analytics for biomedical data


IMPORTANT DATES
---------------
Submission Due: May 23, 2023
Notification Date: June 23, 2023
Workshop Date: August 9, 2023

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 the work's impact.

All papers will be peer-reviewed. If accepted, at least one author should attend the workshop to present their work. The papers should be in PDF format and submitted via EasyChair: https://easychair.org/conferences/?conf=biokdd2023


ORGANIZERS
----------
Program Co-Chairs:
* Da Yan (The University of Alabama at Birmingham)
* Ariful Azad (Indiana University Bloomington)
* Jie Hou (Saint Louis University)

General Chair
* Jake Chen (The University of Alabama at Birmingham)
* Mohammed J. Zaki (Rensselaer Polytechnic Institute)


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

Related Resources

BDCAT 2024   IEEE/ACM Int’l Conf. on Big Data Computing, Applications, and Technologies
ECAI 2024   27th European Conference on Artificial Intelligence
AMLDS 2025   2025 International Conference on Advanced Machine Learning and Data Science
AIM@EPIA 2024   Artificial Intelligence in Medicine
ICDM 2024   IEEE International Conference on Data Mining
DSIT 2024   7th International Conference on Data Science and Information Technology
ADMIT 2024   2024 3rd International Conference on Algorithms, Data Mining, and Information Technology (ADMIT 2024)
NLPTT 2024   5th International Conference on NLP Trends & Technologies
DMBDA 2024   2024 7th International Conference on Data Mining and Big Data Analytics(DMBDA 2024)
CoMSE 2024   2024 3rd Conference on Materials Science and Engineering (CoMSE 2024)