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**DEADLINE EXTENSION to MAY 25th**
**DEADLINE EXTENSION to MAY 25th**
CFP: Joint ICML and IJCAI Workshop on Computational Biology 2018
https://sites.google.com/view/wcb2018
Stockholm, Sweden July 14th 2018
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https://sites.google.com/view/wcb2018
Stockholm, Sweden July 14th 2018
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Please kindly circulate this to interested graduate students, post-docs and faculty.
We are looking forward to your submissions!
Call For Submissions
We invite submissions to the Joint ICML and IJCAI Workshop on Computational Biology (https://sites.google.com/view/wcb2018) to be held in Stockholmsmässan, Stockholm SWEDEN (http://icml.cc/ and https://www.ijcai-18.org/) (July 10-15, 2018). In Biology, there have been credible developments in high-throughput technologies such as next-generation sequencing, CyToF and single-cell sequencing that enable large-scale data generation from many interesting biological systems such as cancer, autoimmune diseases, and human development. However, the scale of these new data make it challenging to analyze with traditional computational biology methods. In contrast, it presents an opportunity for machine learning practitioners to make significant contributions to our knowledge about human health and disease. It therefore seems befitting to bring together researchers engaged in applying ML in Computational Biology to discuss recent advances in this interdisciplinary field and ongoing developments.
We have invited several distinguished speakers from the Computational Biology community to discuss and present their current research. We also invite extended abstracts, long papers and highlight papers dealing with novel algorithms and computational approaches that are especially robust and scalable to high-dimensional data defined by tens of thousands of features as well as thousands to millions of observations, and provide interpretable relationships in biological systems. These can be applications of ML methods or bioinformatics approaches to biological and biomedical data.
Papers will be presented in poster format and some will be selected for oral presentation. Through invited talks and presentations by the participants, this workshop will bring together current advances in Computational Biology and set the stage for continuing interdisciplinary research discussions.
We have invited several distinguished speakers from the Computational Biology community to discuss and present their current research. We also invite extended abstracts, long papers and highlight papers dealing with novel algorithms and computational approaches that are especially robust and scalable to high-dimensional data defined by tens of thousands of features as well as thousands to millions of observations, and provide interpretable relationships in biological systems. These can be applications of ML methods or bioinformatics approaches to biological and biomedical data.
Papers will be presented in poster format and some will be selected for oral presentation. Through invited talks and presentations by the participants, this workshop will bring together current advances in Computational Biology and set the stage for continuing interdisciplinary research discussions.
Important Dates
Deadline for submissions : Extended to May 25th, 2018
Notification of acceptance : June 11th 2018
Workshop date : July 14th or 15th 2018 (TBD)
Deadline for submissions : Extended to May 25th, 2018
Notification of acceptance : June 11th 2018
Workshop date : July 14th or 15th 2018 (TBD)
Submission
All novel Computational Biology approaches are of interest to the workshop. We welcome original abstracts on recently published work as well as preliminary ideas in three different formats:
– Extended abstracts not exceeding 4 pages in length (plus 1 optional page for references).
– Long papers upto 10 pages in length (plus 1 optional page for references). A set of these long papers will be further invited to publish an extended version in a special edition of the Journal of Computational Biology (JCB). For this, there will be a second round of peer reviews. The special edition will be published 3 months post FAIM.
– Highlight papers not exceeding 2 pages with an abstract and link to recently published paper/code. This avenue can be used to project already published articles.
All novel Computational Biology approaches are of interest to the workshop. We welcome original abstracts on recently published work as well as preliminary ideas in three different formats:
– Extended abstracts not exceeding 4 pages in length (plus 1 optional page for references).
– Long papers upto 10 pages in length (plus 1 optional page for references). A set of these long papers will be further invited to publish an extended version in a special edition of the Journal of Computational Biology (JCB). For this, there will be a second round of peer reviews. The special edition will be published 3 months post FAIM.
– Highlight papers not exceeding 2 pages with an abstract and link to recently published paper/code. This avenue can be used to project already published articles.
All submissions must use either the ICML/IJCAI template. The submission need not be anonymized. If the submission concerns previously published work, please cite the original paper in the workshop submission.
All accepted contributions shall be presented at the poster session. There will be Awards for Best Poster Presentations.
In addition, a set of best submissions will also have the opportunity to present their work as Contributed Talks, and will receive Student Travel Awards.
In addition, a set of best submissions will also have the opportunity to present their work as Contributed Talks, and will receive Student Travel Awards.
Accepted abstracts will have the option of being published on the workshop website. For authors who do not wish their abstracts to be posted online or become citable, please mention this in the workshop submission.
Submissions should be made through the EasyChair (https://easychair.org/conferences/?conf=icml-ijcai-wcb2018) system.
Invited Speakers
Samuel Kaski: Director, Finnish Centre of Excellence in Computational Inference Research COIN, Aalto University and University of Helsinki; Academy Professor (Research Professor), and Professor of Computer Science, Aalto University
Dana Pe’er: Chair, Computational and Systems Biology Program
Scientific Director, Metastasis and Tumor Ecosystems Center, Memorial Sloan Kettering Cancer Centre, NYC
Jean-Vert Philippe: Professor, Department of Mathematics and Applications, Ecole normale superieure; Director, Centre for Computational Biology, Mines ParisTech; Team leader, Institut Curie
Samuel Kaski: Director, Finnish Centre of Excellence in Computational Inference Research COIN, Aalto University and University of Helsinki; Academy Professor (Research Professor), and Professor of Computer Science, Aalto University
Dana Pe’er: Chair, Computational and Systems Biology Program
Scientific Director, Metastasis and Tumor Ecosystems Center, Memorial Sloan Kettering Cancer Centre, NYC
Jean-Vert Philippe: Professor, Department of Mathematics and Applications, Ecole normale superieure; Director, Centre for Computational Biology, Mines ParisTech; Team leader, Institut Curie
Registration
All participants must register for the workshop at ICML 2018 conference (http://icml.cc/2018/) or IJCAI 2018 conference (https://www.ijcai-18.org/)
All participants must register for the workshop at ICML 2018 conference (http://icml.cc/2018/) or IJCAI 2018 conference (https://www.ijcai-18.org/)
Contact
For workshop-related queries please contact: workshopcompbio@gmail.com
For workshop-related queries please contact: workshopcompbio@gmail.com
Organizing Committee:
Dana Pe’er, Memorial Sloan Kettering Cancer Center
Christina Leslie, Memorial Sloan Kettering Cancer Center
Anshul Kundaje, Stanford University
Barbara Engelhardt, Princeton University
Mohammed Javeed Zaki, Rensselaer Polytechnic Institute
Wajdi Dhifli, University of Lille
Abdoulaye Baniré Diallo, Université du Québec à Montréal
Engelbert Mephu Nguifo, Université Clermont Auvergne
Elham Azizi, Memorial Sloan Kettering Cancer Center
Sandhya Prabhakaran, Memorial Sloan Kettering Cancer Center
Meghana Kshirsagar, Memorial Sloan Kettering Cancer Center
Wesley Tansey, Columbia University
Ambrose Carr, Columbia University
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Wajdi DHIFLI
Assistant Professor in Computer Science
University of Lille
3, rue du Professeur Laguesse BP83 – 59006 – Lille Cedex