EvoBIO 2017
Evolutionary Computation, Machine Learning and Data Mining for Biology and Medicine
Important notice
Due to a large number of request for late submissions, the EvoStar submission sites will stay open until this Tuesday 15 November 23:59:59 SST, after which no further submissions will be accepted. Authors who have already submitted, can update their work until this time.
The recipients of the "EvoAPPLICATIONS Best Paper Awards" will be
invited to submit an extended version of their works to a special
issue of Memetic Computing.
Join us in Amsterdam for Evo
BIO, a multidisciplinary track that brings together researchers working in Bioinformatics, Medical Applications and Computational Biology that apply advanced techniques coming from Evolutionary Computation, Machine Learning, and Data Mining to address important problems in medical applications and biology, from the molecular and genomic dimension, to the individual and population level. Each accepted paper will be presented orally or as a poster at the conference and will be printed in the proceedings published by Springer Verlag in the LNCS series.
Possible topics of interest include, but are not limited to:
- Medical imaging,signal processing and text analysis
- Data mining medical data and records
- Clinical expert systems
- Modelling and simulation of medical processes
- Drug description analysis
- Patient-centric care
- Interpreting genomic or metagenomic data
- Discovering regulatory or expression pathways
- Rational drug design and personalized medicine
- Modeling ecosystems or population dynamics
- Discovering genome-disease or genome-phenotype associations
- Biomedical text/data mining and visualization
- Network biology/medicine
- Omics data analysis and functional genomics for complex diseases
- Gene-gene interactions and gene-environment interactions for disease association analysis
- Protein Structure Prediction
- Assembling next generation sequence data
For more information, visit our web page at http://www.evostar.org/2017/, or follow us on Twitter @EVOBio2017, join our evobio2017 group on LinkedIn and our EvoBIO group on Facebook, or email to evobio.conference(at)gmail.com
Submission Details
EvoBIO is interested in papers in full research articles (maximum 16 pages) describing new methodologies, approaches, and/or applications (oral or poster presentation).
Submissions must be original and not published elsewhere. They will be peer reviewed by members of the program committee. Submit your manuscript in
Springer LNCS format.
EvoBIO Track Chairs
-
Jaume Bacardit
Newcastle University, Newcastle, UK
jaume.bacardit(at)newcastle.ac.uk
-
Federico Divina
Universidad Pablo de Olavide, Sevilla, Spain
fdivina(at)upo.es
-
Ting Hu
Memorial University, St. John’s, NL Canada
ting.hu(at)mun.ca
Programme Committee
- Bacardit, Jaume; Newcastle University, UK
- Darabos, Christian; Dartmouth College, USA
- Divina, Federico; Universidad Pablo de Olavide, Spain
- Fernandez, Florentino; Universidad de Vigo, Spain
- Freitas, Alex; University of Kent, UK
- Giacobini, Mario; Universita di Torino, Italy
- Giancarlo, Raffaele; Università degli Studi di Palermo, Italy
- Gomez Vela, Francisco; Universidad Pablo de Olavide, Spain
- Greene, Casey; University of Pennsylvania, USA
- Hao, Jin-Kao; University of Angers, France
- Hu, Ting; Memorial University, Canada
- Qi, Jianlong; Ancestry, USA
- Marchiori, Elena; Radboud Universiteit van Nijmegen, Netherlands
- Orsenigo, Carlotta; Politecnico di Milano, Italy
- Pizzuti, Clara; ICAR-CNR, Italy
- Rombo, Simona; Università degli Studi di Palermo, Italy
- Santos Reyes, Jose; Universidad de A Coruña, Spain
- Vanneschi, Leonardo; Universidade Nova de Lisboa, Portugal
- Xue, Bing; Victoria University of Wellington, New Zealand
- Zhang, Mengjie; Victoria University of Wellington, New Zealand