DALS2022: Data Analysis for Life Science Online Grenoble, France, September 19, 2022 |
Conference website | http://www.bioinformatics.deib.polimi.it/DALS2022/ |
Submission link | https://easychair.org/conferences/?conf=dals2022 |
Abstract registration deadline | August 31, 2022 |
Submission deadline | August 31, 2022 |
Submission Guidelines
We invite submissions of high-quality papers describing original and unpublished results regarding any of the workshop’s topics of interest. Manuscripts must be prepared using the Springer-Verlag LNCS style for Lecture Notes in Computer Science (http://www.springer.de/comp/lncs/authors.html). The page limit for workshop papers is 12 pages for full papers or 6 pages for short/demo papers (both including references). Papers must be submitted as PDF files using this EasyChair CfP.
To ensure high quality, all papers will be thoroughly peer-reviewed by the Program Committee. Manuscripts not submitted in the LNCS style or having more than 12 pages will not be reviewed and thus automatically rejected. The papers need to be original and not submitted or accepted for publication in any other workshop, conference, or journal. Submission to DALS 2022 are electronically only.
Workshop Focus
Data Scientists play a fundamental role in analyzing biological, genomics, and health care data, in particular, to pave the ground to personalized medicine. Indeed, such data need to be properly managed, integrated, and analyzed employing statistical inference tools as well as machine learning, data mining, and deep learning methods. Indeed, an increasing number of data scientists are actively working with bio-data, with many different goals, including patient stratification, personalized medicine, drug, and therapy design. Furthermore, analyzing and mining the public large biological and clinical databases (e.g., ENCODE, CCLE, GDC, and MIMIC) have already proven to be paramount for knowledge discovery. Thus, the Data Science community may benefit from learning and sharing the various approaches that have been developed to deal with biological and clinical data.
The workshop will gather researchers with expertise in data management and analysis, machine learning, and knowledge discovery applied to bioinformatics, healthcare, and life science problems. This workshop aims to share current cutting-edge data science methodologies and their applications. It will be an opportunity for researchers to meet and share their ideas on improving data-driven personalized medicine, genetic data management, and health care system advancement.
List of Topics
The topics of interest include, but are not limited to:
- Visualization and exploratory analysis methods for genomic and health care data
- Data analysis of genomics and molecular biology data
- Knowledge discovery from biological and clinical databases
- Analysis of electronic health records (EHR)
- Data analysis of heterogeneous health information systems and databases
- Natural language processing methods applied to genomics and healthcare data
- Tracking and visualization of the viral sequences
- Machine learning methods applied to viral sequences
- Deep learning methods for bioinformatics and biomedical images
- Data pre-processing approaches for single-cell data
- Single-cell data analysis
- Data integration practices for precision medicine
- Network-based approaches for genomic data analysis
We invite contributions from both industry and academia to share their research and experience in using data science, machine learning and database knowledge practices with biological and clinical data.
Committees
Program Committee
TDB
Organizing committee
- Arif Canakoglu, Policlinico di Milano, Italy
- Gaia Ceddia, Barcelona Supercomputing Center, Spain
- Sara Pidò, Massachusetts Institute of Technology, US
- Pietro Pinoli, Politecnico di Milano, Italy
Publication
Accepted papers will be published by Springer as joint proceedings of several ECML PKDD workshops.
Post-conference publication
We are discussing a preliminary agreement with BMC Bioinformatics journal (2-year IF 3.169) for a post-conference supplement related to Data modeling, Processing and Analysis for Life Sciences. All the papers accepted to our workshop will be invited to submit a revised and extended version to the journal supplement.
Important Dates
- Submission deadline papers: 20 June, 2022 (EXTENDED!)
- Author notification: 13 July, 2022
- Workshop date: 19 September, 2022
Venue
The workshop will be held in Online. It will be co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2022).
Contact
All questions about submissions should be emailed to:
- pietro.pinoli@polimi.it